The Kynix Blog - FPGA

Definition and Principle of FPGA ModuleFPGA module (Field Programmable Gate Array) is a reconfigurable hardware gas pedal that contains a large number of programmable logic units and interconnect circuits. According to Intel's official website, FPGA modules are reprogrammable computing components that can be configured for different purposes after manufacturing, and are often used as gas pedals for AI reasoning and data processing, and are widely deployed in cloud, data center, and edge computing environments to eliminate memory buffers and I/O bottlenecks, and accelerate the entire data processing process.Compared to traditional CPUs and GPUs, FPGAs offer higher flexibility and performance, allowing for software-defined hardware acceleration functions without incurring the high cost and complexity of customized ASICs. In addition, market research reports show that the global embedded FPGA market size is growing rapidly: it is projected to grow from $11.09 billion in 2024 to 12.77 billion, at a CAGR of more than 15%, underscoring the importance of FPGAs in the wave of 5G, AI and automation.The figure above shows the Xilinx Spartan-7 evaluation board, which is a typical FPGA module development platform.FPGA modules are internally composed of thousands of Configurable Logic Blocks (CLBs), which are connected through a programmable interconnect network. Each CLB usually contains a lookup table (Lookup Table, LUT), flip-flop (Flip-Flop) and other basic circuit units, which can be combined to form a variety of custom logic functions. Users design the functional logic through hardware description languages such as Verilog, VHDL, etc. The toolchain synthesizes these designs into bitstreams and downloads them to the FPGA module to complete the configuration. During the design process, timing constraints are also specified to ensure that the logic operates stably at the expected clock frequency to complete the full timing closure. Because of this programmable logic architecture, the FPGA module can be repeatedly updated with new functionality from the factory, allowing a single hardware board to be adapted to multiple applications.FPGA vs. ASICFPGA modules are significantly different from ASICs (Application Specific Integrated Circuits) in terms of design and application. Unlike the reprogrammable nature of FPGAs, ASICs fix the hardware functionality at design time and cannot be changed after manufacturing. Therefore, FPGAs are suitable for rapid iteration and validation phases, as well as for scenarios that require frequent algorithm updates, while ASICs are more suitable for optimizing performance, power consumption and cost during large-scale mass production. According to market research, FPGAs typically have higher cost per chip and power consumption than ASICs, and are slightly slower; however, FPGAs do not require expensive lithography mask expense (NRE) investment and have a short overall development cycle. In addition, FPGAs are often used for ASIC prototyping, and functional evolution can be maintained over time through software updates at later stages of product design.Enterprise ScenariosFPGA modules play an important role in several enterprise scenarios due to their flexible programmability and hardware-level parallelism:Data center acceleration and AI inferenceIn cloud and enterprise servers, FPGA modules are used as hardware gas pedals to accelerate workloads such as database retrieval, genome sequencing, data analysis and AI inference. For example, AI inference tasks such as large-scale language modeling (LLM), real-time recommender systems, and financial risk control can benefit from customized acceleration from FPGAs, which are energy-efficient and can also help reduce energy and cooling costs in high-performance data centers.Edge Computing and Industrial AutomationFPGA modules provide low-latency, low-power real-time computing capabilities in the areas of Industry 4.0, smart manufacturing and IoT edge devices. They are commonly used in scenarios such as machine vision, smart cameras, robot control, and perceptual decision-making for self-driving vehicles, where data from multi-sensor inputs (e.g., cameras, radar, sensors) are processed in parallel. In addition, FPGA chips are industrially validated and have a long-term lifecycle, making them ideal for scenarios such as medical equipment, communication base stations, and defense systems that require long-term reliable operation.Networking and 5GFPGA modules are widely used in networking equipment and communication infrastructure to enable high-throughput packet processing and flexible protocol acceleration. With the deployment of 5G networks, FPGAs are used in applications such as wireless baseband processing, data center SmartNICs, and protocol acceleration due to their high-bandwidth I/O and low-latency advantages. Market research indicates that the demand for FPGAs for 5G networks continues to grow, with operators utilizing FPGAs to implement complex signal processing and network functions to address the high-speed, low-latency requirements of next-generation networks.Automation and Professional ApplicationsFPGA modules are also often employed in automated testing, video encoding, and embedded devices. For example, FPGAs can be used for tasks such as real-time video coding and decoding, high-speed data acquisition, and specialized cryptographic processing to improve system efficiency by customizing data paths at the hardware level. There are also a large number of FPGA solutions for image processing, signal processing and control systems in the broadcast, security and aerospace sectors.The above applications show that FPGA modules are playing an increasingly important role in enterprise scenarios such as AI acceleration, industrial control, and communication infrastructure by virtue of the advantage of "programmable logic".Advantages and ChallengesAdvantagesHighly flexible programmability and parallel computing capabilitiesReconfigurable logic circuits as neededLower hardware costs compared to fixed-function ASICsSupport for long iterations of upgradesParallel architecture for simultaneous processing of multiplexed tasksDeterministically low processing latencyFine resource division for specific applicationsReduced power consumption and improved energy efficiencyLife cycle of several years, suitable for medical, defense, automotive systemsExcellent balance of performance and flexibilityChallengesDifficulty of development and programmingRequires hardware description languages (Verilog/VHDL)Needs in-depth understanding of digital circuit timing, layout and wiringSteep learning curve for engineering teamsRequires hardware design experienceConsiderations for manpower trainingSoftware support needs when implementing FPGA solutionsTo reduce these difficulties, the industry has introduced tools such as High-Level Synthesis (HLS) and OpenCL, allowing development in C/C++ or familiar AI frameworks like TensorFlow/Caffe.As the hardware and software development ecosystem becomes more mature, the difficulty of FPGA development is gradually decreasing, but enterprises still need to consider factors such as manpower training and software support when promoting FPGA solutions.Frequently Asked Questions (FAQ)What is FPGA module and how is it different from ASIC?An FPGA module is a "programmable logic" chip that can be shipped from the factory with a bitstream loaded to change its hardware functionality. Unlike ASICs, where the functionality of the circuit is fixed at the time of manufacture and cannot be subsequently modified, FPGAs offer flexibility: companies can quickly update algorithms or iterate on a product without having to remanufacture the chip, and FPGAs have a short development cycle and low up-front investment, but the cost and power consumption of a single chip is usually higher than that of an ASIC; an ASIC is suitable for large-scale mass-production scenarios in pursuit of the highest performance and lowest cost per unit.Which solution is more suitable for AI inference, FPGA module or GPU?FPGAs and GPUs each have their own strengths; GPUs are suitable for general-purpose matrix operations and massive parallelism with a rich software ecosystem, while FPGAs are known for their low latency, customizable hardware paths, and high energy efficiency. When stringent latency requirements are needed (e.g., real-time video or financial transactions) or special network structure optimization, FPGAs can integrate network layers or preprocessors into the hardware to significantly improve processing efficiency. On the other hand, GPUs tend to be more efficient for the training phase or for models with intensive standard convolutional operations. Enterprises can weigh their choices according to the application scenario: some modern accelerator cards also come with both GPUs and FPGAs to take advantage of their respective strengths.What are the main enterprise scenarios that FPGA modules are used in?FPGA modules are widely used in data center acceleration, edge intelligence, network communication and industrial automation. In data centers, FPGAs are used for database acceleration, search engines, machine learning inference (e.g., large-scale recommendation, dialog systems), etc.; in edge computing and industrial fields, FPGAs can provide low-latency AI inference and control functions for smart cameras, robots, and self-driving sensors, etc.; in the field of communications, FPGAs are used for high-speed protocol processing and customized network in 5G base stations and network equipment Functions. In short, any enterprise application scenario that requires high-performance customized acceleration and has stringent requirements for latency and power consumption is likely to use FPGA modules to improve performance and efficiency.What technologies and tools are required to develop FPGA modules?Traditionally, FPGA development has been done using hardware description languages such as Verilog or VHDL, and integrated tools such as Vivado and Quartus to accomplish RTL design to bitstream generation. This requires engineers to have digital circuit design and timing analysis capabilities. In recent years, high-level development platforms including Xilinx Vitis, Intel oneAPI, and OpenCL have emerged, enabling software engineers to also develop FPGA gas pedals using C/C++ or AI frameworks such as TensorFlow and PyTorch. These tools can automatically optimize design details such as parallelism and timing, lowering the FPGA development threshold. For enterprise users, when introducing FPGA solutions, it is recommended to choose mature development kits and third-party support to speed up development and ensure maintainability.ReferenceFPGAs for Artificial Intelligence (AI) – Intel https://www.intel.com/content/www/us/en/learn/fpga-for-ai.htmlFPGA Market Size, Share, and Growth Analysis, By Configuration (Low-end FPGA, Mid-range FPGA), By Node Size (<=16 nm, 20-90 nm), By Technology, By Size, By Vertical, By Region - Industry Forecast 2025-2032 https://www.giiresearch.com/report/sky1666101-fpga-market-size-share-growth-analysis-by.htmlEmbedded FPGA Market Report 2025 - Forecast, Market Size, Demand https://www.thebusinessresearchcompany.com/report/embedded-field-programmable-gate-array-fpga-global-market-reportWhat is FPGA? FPGA Basics, Applications and Uses | Arrow.com https://www.arrow.com/en/research-and-events/articles/fpga-basics-architecture-applications-and-uses /* Base styles */ body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; color: #333; background-color: #f9fafb; margin: 0; padding: 0; } .container { max-width: 1100px; margin: 0 auto; padding: 20px; } /* Typography */ h2 { font-size: 2rem; color: #1e40af; margin-top: 2rem; margin-bottom: 1.2rem; border-bottom: 2px solid #ddd; padding-bottom: 0.5rem; } h3 { font-size: 1.4rem; color: #1e3a8a; margin-top: 1.5rem; margin-bottom: 1rem; } p { margin-bottom: 1.2rem; font-size: 1rem; line-height: 1.7; } /* Sections */ section { margin-bottom: 3rem; } /* Cards and boxes */ .card { background-color: #fff; border-radius: 8px; box-shadow: 0 4px 6px rgba(0,0,0,0.1); padding: 1.5rem; margin-bottom: 1.5rem; transition: transform 0.2s ease-in-out; } .card:hover { transform: translateY(-5px); } .card h3 { color: #2563eb; margin-top: 0; } /* Grid system */ .grid-container { display: grid; grid-template-columns: 1fr; gap: 1.5rem; margin: 1.5rem 0; } @media (min-width: 768px) { .grid-container { grid-template-columns: 1fr 1fr; } } /* Special boxes */ .info-box { background-color: #e0f2fe; padding: 1rem; border-left: 4px solid #38bdf8; border-radius: 4px; margin: 1.5rem 0; } .highlight-box { background-color: #f0fdf4; padding: 1.5rem; border-radius: 8px; border: 1px solid #86efac; margin: 1.5rem 0; } /* Features boxes */ .advantages-box { background-color: #ecfdf5; border-radius: 8px; padding: 1.5rem; box-shadow: 0 2px 4px rgba(0,0,0,0.05); } .advantages-box h3 { color: #059669; } .challenges-box { background-color: #fef2f2; border-radius: 8px; padding: 1.5rem; box-shadow: 0 2px 4px rgba(0,0,0,0.05); } .challenges-box h3 { color: #dc2626; } /* Lists */ ul { padding-left: 1.2rem; } ul li { margin-bottom: 0.5rem; } /* FAQ section */ .faq-item { background-color: #f8fafc; border-radius: 8px; padding: 1.5rem; margin-bottom: 1rem; box-shadow: 0 2px 4px rgba(0,0,0,0.05); } .faq-item h3 { color: #334155; margin-top: 0; font-size: 1.3rem; } /* Utility classes */ .flex-container { display: flex; flex-direction: column; } @media (min-width: 768px) { .flex-container { flex-direction: row; gap: 1.5rem; } .flex-item { flex: 1; } } .text-caption { font-style: italic; color: #6b7280; font-size: 0.9rem; }

Field Programmable Gate Arrays (FPGAs) help create custom hardware. They are very flexible and perform tasks quickly. FPGAs are used in telecommunications, cars, and artificial intelligence. They can make algorithms like RankBoost run 31.8× faster. They also use up to 30% less power than regular CPUs. MATLAB and Simulink make FPGA programming easier for beginners. You can run complex tasks, like motor control, on FPGAs. This requires little programming knowledge. Simulink uses models to create and send code automatically. This helps combine hardware and software easily. These tools let you focus on new ideas instead of coding details. Understanding FPGA Basics What is an FPGA, and how does it work? An FPGA is a special type of hardware you can program. Unlike regular processors, FPGAs let you design custom circuits. These circuits are made using programmable blocks and connections. You can use them to run complex tasks or control systems. FPGAs process data all at once, not step by step. This makes them faster than CPUs for some tasks. They are great for things like image processing and machine learning. Because they are fast and flexible, industries like cars and space use them. The FPGA market is growing and could reach $13.5 billion by 2032. Key building blocks of FPGA logic circuits FPGAs have important parts that make them work well. These include logic elements, flip-flops, multiplexers, and lookup tables (LUTs). Logic elements help create circuits for specific tasks. Flip-flops store data and keep it in sync with the clock. Multiplexers move signals around inside the FPGA. LUTs handle tricky logic tasks quickly. These parts need to stay reliable over time. Problems like BTI and HCI can make them slower. But tools like Ring Oscillators (ROs) check for issues and help fix them. This keeps FPGAs working well for a long time. Problem TypeWhat HappensHow It Affects FPGAsBias Temperature Instability (BTI)Positive ions build up, raising voltage.Slows down switching speed.Hot-Carrier Injection (HCI)Damage to the interface raises voltage.Hurts switching speed permanently.Ring Oscillators (ROs)Sensors watch for circuit problems.Finds issues early. Differences between FPGA programming and traditional software programming FPGA programming is very different from regular software programming. In software, you write instructions for a processor to follow one by one. With FPGAs, you design circuits that work all at the same time. This lets FPGAs handle lots of data very quickly. The tools and languages are also different. Software uses languages like Python or C++. FPGA programming uses HDLs like VHDL and Verilog. These HDLs describe how circuits behave instead of giving step-by-step commands. FPGA programming also needs you to know hardware basics. You’ll learn about timing, delays, and how to use resources. It might seem hard, but tools like MATLAB and Simulink make it easier for beginners. Introduction to MATLAB and Simulink for FPGA Programming Overview of MATLAB and Simulink features for FPGA design MATLAB and Simulink are helpful tools for FPGA projects. Simulink uses visuals to show how hardware and data move. This makes it simple to see how your design works. You can also use MATLAB code inside Simulink with special blocks. This saves time and keeps your work consistent. Another useful feature is testing your Simulink design with MATLAB. A test script checks if your design matches the MATLAB reference. This ensures your FPGA design is correct before using it. These tools make hard tasks easier, even for beginners. Benefits of using MATLAB and Simulink for beginners Starting FPGA programming can feel tricky, but these tools help. Their easy-to-use interfaces let you focus on designs, not coding. Simulink lets you drag and drop to build models. MATLAB has built-in functions to help create algorithms. These tools can also make HDL code automatically. For example, HDL Coder turns Simulink models into VHDL or Verilog code. This saves time spent on coding and fixing errors. Beginners can quickly turn ideas into working designs and feel more confident. Integration of MATLAB and Simulink with FPGA hardware MATLAB and Simulink work well with FPGA hardware. They help design, test, and check systems easily. You can connect them to devices like cameras and processors. This works for school projects and big industries like cars and planes. For example, tutorials show how to use MATLAB or Simulink with LabVIEW FPGA. They explain how to make VHDL code with HDL Coder and test it on hardware. Companies like Siglead use these tools for signal processing. Automatic code generation saves time, letting engineers focus on new ideas. Essential Steps in FPGA Programming Designing hardware architecture The first step in FPGA programming is planning the hardware. You decide how the FPGA will handle data and connect to parts. This includes setting up logic blocks, data paths, and control signals. A good plan helps the FPGA work faster and use resources wisely. You can use benchmarks to guide your design. Benchmarks test different parts of FPGA programming, like code creation and accuracy. The table below shows some common benchmarks: BenchmarkSizePLTypeFeaturesVerilogEval1561 (Verilog)Verilog code generation tasksDiverse tasks from simple circuits to finite state machines; automatic testing.HDLEval100MultipleLanguage-agnostic HDLEvaluates multiple HDLs using standardized test benches and formal verification.PyHDL-Eval168Python-embedded DSLsSpecification-to-RTL tasksFocuses on Python-based hardware design; includes Verilog reference solutions.RTLLM50Verilog, VHDL, ChiselDesign RTL generationCovers various HDL formats and complexities; includes automated evaluation.VHDL-Eval202VHDLVHDL code generation tasksAggregates Verilog and VHDL problems; uses self-verifying testbenches.GenBen351VerilogHardware design tasksEvaluates synthesizability, power, area, and timing for real-world applicability. Writing and simulating HDL code After planning, write the HDL code to describe the FPGA's behavior. Use languages like VHDL or Verilog to define the logic. Tools like MATLAB and Simulink can help by creating HDL code from models automatically. Testing your design with simulation is very important. It lets you check your design in a virtual setup before using real hardware. Simulink gives a visual way to test, while MATLAB runs scripts to confirm everything works. This step reduces mistakes and ensures your design is ready. Synthesis and implementation of FPGA designs Synthesis and implementation turn your HDL code into a working FPGA design. Synthesis changes the code into a gate-level netlist. This step makes the design faster and more efficient. Implementation places the netlist onto the FPGA's physical parts, finishing with routing and bitstream creation. Some methods make synthesis and implementation better: Pipelining splits tasks into steps for faster processing.Loop unrolling makes loops shorter, so tasks run together.Memory partitioning breaks memory into smaller parts for better use. The table below explains these methods: TechniqueDescriptionSynthesisTurns RTL code into a gate-level netlist, improving performance.ImplementationMaps the netlist to FPGA parts, including routing.PipeliningSplits tasks into steps for faster parallel processing.Loop UnrollingReduces loop steps to increase speed and parallelism.Memory PartitioningBreaks memory into smaller parts for better processing. These techniques make FPGA designs fast and dependable. Verification and debugging techniques. Checking and fixing are key steps in FPGA programming. They make sure your design works well before using it. If you skip these steps, mistakes can cause big problems later. Begin with testing through simulations. Use tools like MATLAB and Simulink to test designs virtually. Simulations let you see how your design acts in different situations. For example, you can test clock signals or input data to check outputs. This helps find mistakes early, saving time later. Then, try hardware-in-the-loop (HIL) testing. This connects your FPGA design to real hardware parts. HIL testing checks how your design works with devices like sensors or motors. It helps you see how your design performs in real life. Debugging tools are also very helpful. Many FPGA tools have built-in debugging features. For example, signal analyzers watch signals inside the FPGA. Logic analyzers help find timing problems by tracing signal paths. These tools make fixing issues easier. Lastly, follow a step-by-step debugging plan. First, find the problem by checking small parts of your design. Once you know the issue, change the HDL code or hardware setup. Test again to make sure the problem is fixed. Learning these methods helps you build strong FPGA designs. Checking and fixing improve your skills and make your projects successful. Practical Example: Blinking LED Project Setting up the project in MATLAB and Simulink To start the blinking LED project, set up MATLAB and Simulink. First, make a new Simulink model. Use the drag-and-drop feature to add blocks for hardware and logic. This visual method is easy for beginners. You can also write MATLAB scripts to set parameters or test your design. Simulink has a user-friendly interface to pick FPGA components. This makes creating HDL code simple. Tools like CASPER help move from simulation to real hardware smoothly. This setup teaches how software and hardware work together, which is important for FPGA projects. Designing the blinking LED logic The blinking LED logic controls when the LED turns on and off. A counter is a simple way to do this. The counter increases with a divided clock signal, setting the blink speed. For advanced designs, use multiple counters to create different blinking patterns. Here’s an example of basic counter logic in Verilog: always @(posedge clk) begin if (counter == MAX_COUNT) begin counter <= 0; led <= ~led; // Change LED state end else begin counter <= counter + 1; endend This code makes the LED blink at a steady speed. The clock frequency and counter value decide how fast it blinks. Simulating and testing the design Testing your design with simulation is very important. It helps find and fix problems before using real hardware. Use Simulink to test your blinking LED logic. Simulations check how your design works in different situations, even tricky ones. For example, during simulation, you can see how the LED behaves: Time Interval (ms)Frequency (Hz)LED Signal Behavior0 - 200100LED blinks very fast200 - 40050LED blinks slower400 - 60010LED blinks at a slow speed600 - 8001LED blinks very slowly Simulations make debugging easier than testing on hardware. Once the simulation works as expected, you can program the FPGA confidently. Deploying the design to FPGA hardware. After your design passes tests, it's time to put it on the FPGA hardware. This means programming the FPGA with a special file called a bitstream. Follow these simple steps to finish the process: Create the Bitstream FileUse your FPGA tools to make the bitstream file. This file tells the FPGA how to work. Tools like MATLAB HDL Coder or Simulink can make this file for you after the design is ready. Connect the FPGA BoardAttach your FPGA board to your computer using a USB or JTAG cable. Make sure the board is turned on and your computer recognizes it. Most boards come with software to help with this step. Load the BitstreamOpen the programming software for your FPGA, like Xilinx Vivado or Intel Quartus. Choose your FPGA device and load the bitstream file. Click "Program" to send the design to the FPGA. Test the HardwareCheck if the design works correctly on the FPGA. For example, in the blinking LED project, see if the LED blinks at the right speed. If there are problems, go back and check your tests and fixes. Tip: Always check the FPGA board's pin setup before programming. Wrong pin settings can damage the hardware. Here’s an example of a MATLAB command to program an FPGA: fpga = hdlcoder.FPGAProgrammingInterface('Xilinx');fpga.ProgramFPGA('bitstream.bit'); Putting your design on hardware lets you see it in action. It’s exciting to watch your ideas turn into real projects! Advanced Concepts for Beginners Introduction to sequential logic and D flip-flops (DFFs) Sequential logic is a circuit type where outputs depend on inputs and past states. This differs from combinational logic, which only uses current inputs. Sequential circuits are important for counting, storing data, and controlling FPGA processes. A key part of sequential logic is the flip-flop. So, what is a flip-flop? It’s a small circuit that holds one bit of data. The D flip-flop (DFF) is the most common type. It saves the input value (D) when the clock signal rises and keeps it until the next clock cycle. This makes it great for registers, counters, and memory. For instance, a D flip-flop can store the state of a blinking LED. It ensures the LED changes only at set clock times, preventing errors. Understanding timing, propagation delay, and clock domains Timing is very important in FPGA design. Propagation delay is the time a signal takes to move through a circuit. If delays are too long, the circuit might fail. Clock domains are parts of a design using different clock signals. Managing these prevents data errors or loss. Engineers use reports to check timing and clock domains. These reports find problems and improve designs: Report TypeWhat It DoesClock Networks ReportShows how clocks move through the design and their connections.Clock Interaction ReportFinds problems like data loss between different clock domains.Timing Summary ReportGives a full view of the design's timing for final checks.Datasheet ReportLists timing details and system requirements for integration. Knowing these ideas helps your FPGA work well, even in tough tasks. Best practices for coding in VHDL and Verilog Using good habits in VHDL or Verilog makes your code clear and easy to manage. Here are some tips: Write comments to explain signals and tricky code parts. This helps if you review the code later.Describe inputs and outputs clearly at the interface level. This makes reuse easier.Skip obvious comments. Use comments to explain hard-to-understand sections. Beginners should also know the difference between VHDL and Verilog. VHDL is detailed and good for big, complex projects. Verilog is simpler and popular in industries. Pick the one that fits your project and learning needs. By following these tips, you can write neat and effective designs. This is key for anyone learning hardware programming. Tips for Troubleshooting and Debugging Common problems in FPGA programming and how to fix them FPGA programming can be tricky, but knowing common problems helps. Here are some issues and ways to solve them: Asynchronous Logic: Timing errors happen with asynchronous logic. Use synchronous logic and clock all signals to avoid this.Underused DSP Slices: Beginners often use LUTs instead of DSP slices. This makes designs less efficient. Use DSP slices for math tasks to improve performance.Ignoring Device Primitives: Skipping built-in primitives can lead to poor designs. Learn about your FPGA's primitives to make better circuits. Sometimes, board designers and FPGA developers face teamwork issues. Working together and debugging as a team can fix these problems. For example, both teams should check timing errors in asynchronous logic. The table below shows error counts in FPGA programming: CategoryError CountDDR Rx CRC-132,616,455Ingress Drop Stats1,750UcH Fr Np-1115,685UcL Fr Np-131,852,547,525UcH ErrToNp-2129UcL ErrToNp-290,359 Fixing these problems early saves time and makes debugging easier. Tools and methods for debugging FPGA designs Debugging is important in FPGA design. Using the right tools helps you meet your goals. Here are some useful methods: Simulation Tools: Test your design with tools like MATLAB or Simulink. Simulations let you find bugs before using real hardware.Hardware Debugging Tools: Use signal probes and logic analyzers to check signals inside the FPGA. These tools help find errors and fix timing issues.Hardware-in-the-Loop (HIL) Testing: Connect your FPGA to real devices. HIL testing checks if your design works in real-world situations. The table below lists key debugging and optimization metrics: MetricDescriptionCorrectnessCheck if the design works as planned.Timing ComplianceMake sure the design meets timing rules to avoid errors.RobustnessTest the design in tough situations to ensure it’s reliable.Debugging and OptimizationFind and fix bugs while improving performance. These methods and tools help you build strong FPGA designs. Learning them makes solving hard debugging problems easier. Resources for Further Learning Suggested tutorials and books for FPGA programming Books and tutorials are great for learning more about FPGAs. A popular book is The FPGA Programming Handbook by Frank Bruno and Guy Eschemann. It starts with simple ideas and moves to harder topics. The book includes hands-on projects like making a calculator or connecting sensors. The authors have over 50 years of combined experience. They’ve worked with big companies like SpaceX and Analog Devices, so the book is trustworthy and helpful. AspectDetailsBook TitleThe FPGA Programming HandbookAuthorsFrank Bruno, Guy EschemannTarget AudienceHobbyists, students, and people curious about FPGA technologyContent OverviewCovers basics to advanced topics, includes hands-on projectsRecommended ForBeginners and those with some technical knowledgePractical ExamplesProjects like making a calculator and connecting sensorsAuthor's ExperienceWorked with companies like SpaceX and Analog Devices This book is perfect for beginners or anyone with basic technical skills. It gives a strong start for designing FPGA systems. Online courses and beginner communities Online courses and groups are great for learning FPGA programming. Websites like Coursera and Udemy have beginner-friendly FPGA courses. These courses include videos, quizzes, and projects. Some teach how to use MATLAB and Simulink for FPGA tasks. You can learn at your own speed, which is great for new learners. Communities like Reddit’s FPGA subreddit and forums like Stack Overflow are also helpful. You can ask questions, share ideas, and learn from experts. Joining these groups helps you solve problems and learn about new trends. Trying advanced projects and real-world uses After learning the basics, try harder FPGA projects. For example, you can work on image processing, robotics, or machine learning systems. These projects improve your skills and prepare you for real-world jobs. Industries like cars and space use FPGAs for tasks like signal processing and control systems. You can also use MATLAB and Simulink in your designs. These tools make hard tasks easier, like creating hardware for AI. Working on advanced projects gives you hands-on experience and boosts your problem-solving skills. Reference If you're learning FPGA programming with MATLAB and Simulink, having good resources is important. Here’s a list of books, websites, and tools to help you: Books 📚 "Digital Design and Computer Architecture" by David Harris and Sarah HarrisThis book teaches digital logic and hardware languages like VHDL and Verilog. It’s easy to follow and has real-world examples."FPGA Prototyping by VHDL Examples" by Pong P. ChuA beginner-friendly guide for learning VHDL. It includes projects like making LED controllers and counters. Online Resources 🌐 MATLAB DocumentationCheck MATLAB's official documentation for step-by-step guides on using MATLAB and Simulink for FPGA tasks.Intel FPGA TrainingIntel offers free courses to learn FPGA basics. Visit Intel FPGA Training.Xilinx Learning CenterXilinx has tutorials and webinars for beginners. Find them at Xilinx Learning Center. Tools and Simulators 🛠️ Tool NameWhat It DoesWebsite LinkHDL CoderTurns MATLAB/Simulink into HDL codeHDL CoderVivado Design SuiteHelps design and debug FPGAsVivadoQuartus PrimeIntel's software for FPGA designQuartus Prime Tip: Save these links for quick use. They’ll help you solve problems faster. Using these resources will give you a solid start in FPGA programming. You’ll feel ready to take on harder projects with confidence. You now know the basics of FPGA programming using MATLAB and Simulink. Begin with easy projects, like making LEDs blink. These simple tasks help you learn and gain confidence. Practice writing HDL code, fixing errors, and testing designs. Tools like Simulink make hard designs easier to handle. As you improve, try harder projects to grow your skills. Keep practicing regularly to become great at FPGA programming and create cool designs. FAQ What is digital design, and why does it matter in FPGA programming? Digital design means making circuits that handle binary data. It’s important in FPGA programming because it helps create parts like counters and controllers. These parts are the building blocks for making useful and efficient FPGA designs. How does MATLAB make FPGA programming easier? MATLAB makes FPGA programming easier with tools like HDL Coder. These tools turn your designs into HDL code automatically. You can also test and check your designs in MATLAB before using them on hardware. This saves time and avoids mistakes. Can Simulink be used for real-time FPGA tasks? Yes, Simulink works for real-time FPGA tasks. It lets you create and test designs visually. Simulink also connects to hardware to check how your design works in real life. This helps ensure your design performs well in real situations. What is a module in FPGA programming? A module is a small, reusable part of FPGA programming. It does one job, like counting or processing data. You can combine modules to make bigger designs. Using modules also makes your work easier to fix and understand. Do I need to know HDL languages to start FPGA programming? Knowing HDL languages like VHDL or Verilog is helpful but not required. Tools like MATLAB and Simulink can create HDL code for you. This lets you focus on designing and testing without writing HDL code yourself.

Xilinx FPGAs and SoC devices are renowned for their powerful functionality and diverse applications, but their part number naming conventions and key parameters can be confusing for beginners. This guide will help you navigate the world of Xilinx components to make informed decisions for your next project.Key TakeawaysUnderstanding part number naming conventions helps quickly identify component features and applicationsPay attention to speed grades and temperature grades as they affect performance and reliabilitySelect components based on project requirements, balancing performance, cost, and power consumptionUtilize Xilinx official tools and documentation, such as DocNav, to improve selection efficiencyConsult third-party resources and community support to learn from others’ experiences and optimize your choicesXilinx Part Number Naming ConventionsXilinx Part Number BreakdownStructure and Meaning of Part NumbersXilinx part numbers follow a specific pattern that allows you to quickly understand basic information about the device. Here’s the basic structure:Product Family Prefix: XC for standard commercial products, XA for automotive-grade products, XQ for military/aerospace-grade products.Series Code: For example, 7 series, representing the device generation and functional characteristics.Device Type: Such as Virtex, Artix, Kintex, etc., representing different FPGA families with varying functionality and performance.Device Size: Usually represented in thousands of logic units, for example, 485 represents 485,000 logic units.Speed Option: Such as T for high performance.Speed Grade: Numerically represented, such as -2 for higher performance grades.Package Type: Such as FFG for flip-chip fine grid, followed by numbers indicating pin count.Temperature Grade: Such as 1C for commercial grade. Series Names and GenerationsXilinx device series names reflect their technology generation and application areas:Generation 6: Earlier devices suitable for basic applications.Generation 7: Includes SPARTAN, ARTIX, KINTEX, and VIRTEX, covering needs from low power to high performance.Ultrascale: Provides KINTEX and VIRTEX series, suitable for higher-performance designs.Ultrascale+: Added ARTIX, KINTEX, VIRTEX, and ZYNQ series, with ZYNQ integrating ARM chips for embedded applications.Versal: Focused on AI fields, divided into AI Core, AI Edge, Prime, and Premium series to meet various AI computing needs.At Kynix, we stock all generations of Xilinx components, from legacy Series 6 to cutting-edge Versal AI devices. Our inventory management system ensures you’ll find exactly what your project requires, with genuine components backed by our quality guarantee.Practical Application of Part Number Naming Conventions Example Analysis: How to Quickly Understand Component Characteristics Through Part NumbersLet’s take the part number “XC7A35T-1FTG256” as an example:XC: Indicates a Xilinx component.7A: Belongs to the 7th generation ARTIX series, suitable for low-power applications.35T: Provides 35K logic units, suitable for medium-scale designs.-1: Standard speed grade.FTG256: Indicates an FBGA package type with 256 pins.Through this part number, engineers can quickly understand its performance, packaging, and applicable scenarios.Key Parameter InterpretationSpeed GradeDefinition and Its Impact on PerformanceSpeed grade is an important parameter for Xilinx components, typically marked as “-1”, “-2”, “-3”, etc. The smaller the number, the higher the speed grade and performance. For example, “-1” indicates standard speed, while “-3” represents a higher performance grade. Speed grade directly affects the device’s clock frequency and data processing capability. For projects requiring high-performance computing, such as AI inference or high-speed data transmission, choosing components with higher speed grades is crucial.How to Choose Speed Grade Based on Project RequirementsEngineers should weigh performance needs against budget constraints when selecting speed grades. High-performance projects typically require higher speed grades, but this also increases cost and power consumption. For low-power embedded designs, standard speed grades may be sufficient. By combining project requirements with component performance, engineers can more efficiently select the best Xilinx components.Temperature GradeDifferences Between Industrial, Commercial, and Military GradesTemperature grade determines the reliability of components in different environments. Here’s a comparison of the three main temperature grades:GradeOperating Temperature RangeCommercial0°C ~ +70°CIndustrial-40°C ~ +85°CMilitary-55°C ~ +125°CCommercial grade is suitable for indoor environments, industrial grade is appropriate for wider industrial scenarios, and military grade can handle extreme environments.Impact of Temperature Grade on Reliability and CostHigher temperature grades provide greater reliability but also increase cost. For industrial equipment that needs to operate long-term, choosing industrial-grade components can improve system stability. For budget-sensitive consumer products, commercial-grade components may offer better value.Package TypesCommon Package Types and Their Applicable ScenariosPackage type affects the physical dimensions, heat dissipation performance, and applicable scenarios of components. Here are several common package types and their applications:Package TypeApplicable ScenariosDIPSuitable for through-hole soldering on PCBs, applicable to early microprocessors and logic devices.PQFP and PFPSuitable for high-frequency use, applicable to large-scale or very large-scale integrated circuits.PGAAdapts to higher frequencies, applicable to Intel series CPUs such as 80486 and Pentium.BGASuitable for high-density packaging, applicable to modern high-performance chips.CSPSuitable for applications with strict space requirements.Impact of Package Type on Heat Dissipation and PCB DesignPackage type significantly affects heat dissipation and PCB design:Package type influences heat conduction efficiency.PCB layout should separate high-power components to maximize heat dissipation area.More copper layers in PCB improve thermal performance.Increasing heat sink size significantly improves thermal performance.Engineers should optimize heat dissipation design based on component package type to ensure stable system operation.Other Key ParametersLogic Unit Quantity (LUTs) and Storage ResourcesThe number of Logic Units (LUTs) is one of the important metrics for measuring FPGA performance. LUTs determine the complexity of logic functions an FPGA can implement. For projects requiring high computational power, such as image processing or machine learning, choosing components with more LUTs is crucial. Conversely, for simple control logic or low-power applications, fewer LUTs may be sufficient.Storage resources are also key parameters. Internal storage resources in FPGAs include block RAM (BRAM) and distributed RAM. Block RAM is suitable for storing large amounts of data, such as image frames or data buffers, while distributed RAM is more appropriate for small data storage. When selecting components, engineers should reasonably assess the allocation of storage resources based on project requirements for storage capacity and speed.I/O Interface Quantity and TypesThe quantity and types of I/O interfaces directly affect an FPGA’s ability to communicate with external devices. Common I/O interfaces include LVDS, SERDES, and high-speed Ethernet interfaces. For applications requiring high-speed data transmission, such as communication base stations or video processing, choosing components that support high-speed interfaces is particularly important. For embedded designs, engineers may be more concerned with GPIO quantity and compatibility with low-speed interfaces.Additionally, voltage standards and signal integrity of I/O interfaces also need special attention. For example, some industrial applications may require support for 3.3V voltage, while consumer products may prefer 1.8V or lower voltage standards.Practical Tools and ResourcesOfficial Tools and DocumentationUsing DocNav to Quickly Find Component InformationDocNav is an efficient document management tool provided by Xilinx, designed specifically for engineers. It integrates all of Xilinx’s technical documentation, including data sheets, user guides, and application notes. Through DocNav, users can quickly search and locate needed information, saving considerable time. DocNav’s classification functionality is clear and straightforward, supporting filtering by product series, keywords, or document type. For engineers who need to frequently consult documentation, this is an indispensable tool.Tips for Using Product Selection Guides and Data SheetsXilinx’s product selection guides and data sheets provide detailed component information. Here are some practical tips:Understanding the structure and content of data sheets helps quickly grasp core parameters of components.Making good use of table of contents and index functions helps quickly find needed information.Paying attention to typical performance and usage recommendations helps avoid selection errors.Through these tips, engineers can more efficiently select the best Xilinx components, ensuring project performance and reliability.Need technical documents for Xilinx products? Kynix maintains a comprehensive library of datasheets, application notes, and selection guides. As an authorized distributor, we provide access to official documentation to support your design process from component selection through implementation.Third-Party Resources and Community SupportReference Value of Online Forums and Technical BlogsThird-party resources provide engineers with rich experience sharing and technical support. Online forums (such as Xilinx Community) and technical blogs are important channels for obtaining practical information. These platforms gather FPGA developers from around the world, where users can find solutions to common problems or raise their own questions. Technical blogs provide in-depth case analyses and design tips, helping engineers better understand complex design processes.Component Selection Experience from Open Source ProjectsOpen source projects provide valuable references for engineers. Many open source hardware and software projects include practical application cases of Xilinx components. By studying these projects, engineers can understand component performance in different scenarios and draw from selection experiences. For example, searching for FPGA-related projects on GitHub can reveal many practical cases regarding logic unit configuration, I/O interface usage, and performance optimization. These experiences provide important references for engineers selecting components in actual projects.Practical Case Analysis for Component SelectionCase 1: High-Performance Computing ProjectProject Requirements AnalysisHigh-performance computing projects have extremely strict requirements for components, comprehensively considering the following key needs:Electrical Characteristics: Components need to withstand maximum applied electrical stress, ensuring stable operation.Operating Temperature Range: The rated temperature range of components should cover the actual working environment of the project.Process Quality and Manufacturability: Choose components with mature processes and high yield rates to reduce risk.Stability: Under environmental changes, component parameters need to remain within allowable ranges.Lifespan: The working life of components should meet the expected life requirements of the device.Environmental Adaptability: Ensure components can function normally in special environments.Failure Modes: Understand typical failure modes of components to formulate response strategies.Maintainability: Choose components that are easy to install, remove, and replace.Availability: Ensure supplier diversity, with supply cycles meeting manufacturing plans.Cost: Choose components with good value while meeting performance requirements.How to Combine Part Numbers and Parameters to Select ComponentsIn high-performance computing projects, when selecting the best Xilinx components, engineers should prioritize speed grade and logic unit quantity (LUTs). For example, the Virtex Ultrascale+ series provides high performance and rich logic resources, suitable for complex computational tasks. For applications requiring high-speed data transmission, models supporting SERDES interfaces can be selected. Additionally, package form needs to match project heat dissipation requirements, with BGA packaging typically being the first choice for high-performance projects. By combining project requirements and component parameters, engineers can achieve the best balance between performance and cost.Case 2: Low-Power Embedded ProjectProject Requirements AnalysisComponent selection for low-power embedded projects needs to focus on the following aspects:System usage scenarios: Choose energy-efficient chips based on computational tasks.Power supply chips: Need to select low-power LDO or DCDC chips to extend battery life.Peripheral components: Use devices with shutdown functionality to reduce power consumption.Dynamic voltage frequency technology: Reduce power consumption of different modules in real-time through multi-level voltage design.How to Combine Part Numbers and Parameters to Select ComponentsIn low-power embedded projects, choosing appropriate part numbers and parameters is crucial. For example, the Artix-7 series is known for low power consumption and high value, suitable for embedded applications. Engineers can further optimize power consumption by reducing CPU operating frequency and shutting down unnecessary modules. Additionally, choosing components supporting Dynamic Voltage and Frequency Scaling (DVFS) technology, such as the Zynq series, can significantly reduce energy consumption. For power supply chips, TI’s TPS797 series can be selected, with its ultra-low power consumption characteristics being very suitable for battery-powered devices. Through reasonable configuration of part numbers and parameters, engineers can minimize power consumption while meeting performance requirements.ConclusionSelecting the best Xilinx components requires following three core steps: understanding part number naming conventions, focusing on key parameters, and combining project requirements. Part number naming conventions help engineers quickly identify component characteristics, while key parameters directly affect performance and reliability. By combining project requirements, engineers can find the best balance between performance, cost, and power consumption.It is recommended to prioritize using Xilinx official tools and documentation, such as DocNav and product selection guides. These resources provide detailed technical information and practical tips that can significantly improve selection efficiency. Additionally, avoid single-parameter orientation and comprehensively consider actual project requirements to ensure the scientific and rational nature of component selection.FAQ1. How can I quickly determine if a Xilinx component is suitable for my project?Through part number naming conventions and key parameters, engineers can quickly screen components.Part Number Naming Conventions: Help understand series, speed grade, and package type.Key Parameters: Such as logic unit quantity, storage resources, and I/O interface quantity.Tip: Combine project requirements and prioritize using official tools like DocNav.2. Why is speed grade so important for performance?Speed grade determines the clock frequency and data processing capability of FPGAs.High Speed Grade: Suitable for high-performance computing and high-speed data transmission.Low Speed Grade: More suitable for low-power embedded designs.Note: When choosing speed grade, balance performance and cost.3. How do I choose an appropriate package type?Package type affects heat dissipation performance and PCB design.BGA Packaging: Suitable for high-density designs and high-performance projects.CSP Packaging: Suitable for space-constrained embedded applications.Recommendation: Choose package type based on project heat dissipation requirements and PCB layout.4. How does the temperature grade of Xilinx components affect projects?Temperature grade determines the reliability of components in different environments.Industrial Grade: Suitable for industrial equipment, with a wider temperature range.Commercial Grade: Suitable for indoor environments, with better value.Tip: Choose appropriate temperature grade based on actual working environment.5. How can I utilize third-party resources to optimize selection?Third-party resources provide rich experiences and cases.Online Forums: Obtain solutions to common problems.Open Source Projects: Reference component selection in actual applications.Recommendation: Combine official documentation and third-party resources to improve selection efficiency.

Introduction FPGA is a product of further development on the basis of programmable devices such as PAL, GAL, and CPLD. It appears as a semi-custom circuit in the field of application specific integrated circuits (ASIC), which not only solves the shortcomings of the custom circuit, but also overcomes the limited number of gate circuits of the original programmable device. FPGA is often used in communication, network and other fields to process a large number of network data packets. It is also widely used in aerospace, military defense and other fields. As a hardware test platform before other chips are taped out, it plays an important role in cloud computing, artificial intelligence (AI) and other fields. FPGA Applications, Features and Selection Catalog Introduction Ⅰ FPGA Basic Architecture Ⅱ FPGA Basic Features Ⅲ FPGA Applications 3.1 Circuit Design 3.2 Product Design 3.3 System Application Ⅳ Vacuum Cleaner Based on FPGA 4.1 A Short Brief 4.2 The Composition of the Platform 4.3 Main Hardware Design 4.4 Program Design Points Ⅴ FAQ Ⅰ FPGA Basic Architecture FPGA consists of 6 parts, namely programmable input/output (I/O) unit, basic programmable logic unit, embedded RAM, abundant wiring resources, bottom embedded functional unit and embedded dedicated hard core. Figure 1. FPGA Basic Architecture Each unit is described as follows:🔺Programmable I/O UnitAt present, most FPGA I/O units are designed in programmable mode, that is, through the flexible configuration of software, they can adapt to different electrical standards and I/O physical characteristics; the matching impedance characteristics, the pull-up and pull-down resistors can be adjusted; the output drive current can be adjusted, etc.🔺Basic Programmable Logic UnitThe basic programmable logic unit of FPGA is composed of a look-up table (LUT) and a register. The look-up table completes the pure combinational logic function. FPGA internal registers can be configured as flip-flops with synchronous/asynchronous reset and set, clock enabled, or as latches. FPGA generally relies on registers to complete synchronous sequential logic design. Generally speaking, the configuration of a classic basic programmable unit is a register plus a LUT. However, the internal structures of registers and look-up tables of different manufacturers are different, so the combination modes are also different.An important aspect of learning the LUT and Register ratios of the underlying hive is device selection and sizing. In addition to the basic programmable logic units inside the FPGA, there are embedded RAM, PLL or DLL, dedicated Hard IP Core, etc. These modules can also be equivalent to a certain scale of system gates, so the simple and scientific method is use the number of Registers or LUTs of the device to measure.🔺Embedded RAMNow most FPGAs have embedded RAM, which can be configured as single-port RAM, dual-port RAM, pseudo-dual-port RAM, CAM, FIFO and other storage structures.CAM is the content address memory. The data written to the CAM is compared with every data stored in it and returns the addresses of all internal data that are the same as the port data. Simply put, RAM is a storage unit for writing addresses and reading data, while CAM is just the opposite of RAM. In addition to block RAM, Xilinx and Lattice FPGAs can flexibly configure LUTs into storage structures such as RAM, ROM, and FIFO.🔺Rich Wiring ResourcesThe routing resources connect all the units in the FPGA, and the length and process of the connection determine the driving ability and transmission speed of the signal on the connection. Here the division of wiring resources:1) Full dedicated routing resources: Complete the routing of the global clock and global reset/set within the device.2) Long-term resources: Used to complete the wiring of some high-speed signals and some second global clock signals between device banks.3) Short-circuit resources: Used to complete the logic interconnection and wiring between basic logic units.4) Others: There are various wiring resources and control signal lines such as dedicated clock and reset in the logic unit.In the design process, the place and router often automatically selects the available routing resources to connect the underlying unit modules used according to the topology and constraints of the input logic netlist, so routing resources are often ignored. In fact, the optimization of routing resources is directly related to the use and implementation results.🔺The bottom layer is embedded with functional units, and the resources embedded by different manufacturers will be different.🔺Embedded dedicated hard coreDifferent from the "low-level embedded unit", the hard cores here are mainly those with relatively weak generality, and not all FPGA devices contain hard cores.   Ⅱ FPGA Basic Features 1) Using FPGA to design ASIC circuit (application-specific integrated circuit), users can get suitable chips without film production.2) FPGA can be used as a mid-scale sample for other full-custom or semi-custom ASIC circuits.3) There are abundant triggers and I/O pins inside the FPGA.4) FPGA is one of the devices with the shortest design cycle, the lowest development cost and the lowest risk in the ASIC circuit.5) FPGA adopts high-speed CMOS technology with low power consumption and is compatible with CMOS and TTL levels. Figure  2. FPGA Chip Ⅲ FPGA Applications 3.1 Circuit Design Connection logic and control logic are the areas where FPGA played a relatively important role in the early days and are also the cornerstone of FPGA applications. In fact, it is still quite difficult to apply FPGA in circuit design, which requires developers to have corresponding hardware knowledge (circuit knowledge) and software application capabilities (development tools). So talents in this area are always in short supply, and they are often engaged in new technologies. The successful product development of new products will become the mainstream basic products in the market for designers to apply. In the near future, the design of general-purpose and special-purpose IP will become popular. 3.2 Product Design Apply relatively mature technology to some specific fields such as communication, video, information processing, etc. to develop products that meet the needs of the industry and can be accepted by industry customers. This aspect is mainly a combination of FPGA and professional technology. In addition, there are product design for interface issues with professional customers also includes professional tool products and civilian products. The former focuses on performance, while the latter focuses on price-sensitive product design to achieve product functions as the main purpose.FPGA is a means of realization. In this field, it has the characteristics of interface, control, functional IP, embedded CPU, etc. to realize a system product design with simple structure, high degree of curing, and comprehensive functions for FPGA market. 3.3 System Application The system-level application is the combination of FPGA and traditional computer technology to realize an FPGA version of the computer system. For example, Xilinx V-4, V-5 series FPGA is used to realize the embedded POWER PC CPU, and then cooperate with various peripheral functions. To achieve a basic environment, running LINUX and other systems on this platform also supports various standard peripherals and functional interfaces, which is very helpful for quickly forming large-scale FPGA systems.In system-level applications, if the developers do not have the ability to expand the system, it is meaningless to just engage in programming. Of course, the development of device drivers is another case. The system-level application seems to have a high starting point, but it does not have deep development ability, it is likely to become a hobbyist, just like many people can make web pages but cannot be called programming.   Ⅳ Vacuum Cleaner Based on FPGA 4.1 A Short Brief Design of indoor intelligent vacuuming platform based on FPGA.Intelligent environmental cleaners have increasingly become the focus of research because they can replace people in environmental cleaning. Although they achieve intelligence, most of them have complex structures and high integration, which are not conducive to developers to expand their functions. On the basis of researching and summarizing the relatively mature products on the market, this paper designs and implements an indoor intelligent vacuuming platform based on a highly programmable FPGA. The platform has self-navigation, can clean most of the space, and is compact in shape, stable in operation and low in noise. More importantly, it has a simple structure and a user-friendly interface, which is convenient for further development of operation and functions. Figure  3. Body Frame 4.2 The Composition of the Platform The overall frame design of the platform proposed in this paper is shown in Figure 3, and a car with four wheels is used as the carrier of the entire platform. The FPGA controller is used as the main controller of the entire platform, and is connected to the photoelectric sensors jk1, jk2, jk3, jk4 and the collision switch jk5 through I/O to realize the detection of platform obstacles. Then output PWM waveform through I/O to drive speakers and high-low, and the change of the level drives the on and off of the LED to form an acousto-optic circuit. Finally the stepper motor dj1, dj2 and the DC dust collection motor dj3 are driven by controlling the signal control line of the motor driver to realize the movement and dust collection of the platform. 4.3 Main Hardware Design The system is mainly composed of FPGA main control chip, photoelectric sensor, collision switch, wireless remote control transmitter module controlled by two STC89C52 microcontrollers, two mode selection chips, acousto-optic circuit, drive motor, vacuum cleaner motor and the power supply circuit of the whole system, such as as shown in the Figure 4. Figure  4. Main Control System 🔺FPGA Chip SelectionAccording to the overall design of the platform, the basic requirements for the chip can be drawn:(1) At least 6 PWM waveform outputs are required.(2) One serial communication interface is required.(3) A real-time chip that requires a higher 12 V to be converted to 3.3 V.(4) Higher processing speed.(5) There are more I/O interfaces.Taking these conditions into consideration, the EP2C35F672C6 model in the CycloneII series FPGA produced by Altera can basically meet the requirements. It has excellent operation speed, low cost and DSP module, large internal memory, multi-channel PWM output, flexible design and comprehensive use of multiple languages, and the cost performance is relatively high.🔺Configuration Circuit Design Points(1) Power supply circuit: The power supply system uses 12V power supply as the input power supply, uses L7805CV to step down it to 5V, and then converts 5V to 3.3V and 1.2V by TPS37HD301. The power supply point of the I/O port of the FPGA is 3.3V, the core supply voltage is 1.2V. Because the motor drive system uses the 5V signal of the controller, and the port voltage of the FPGA is 3.3V, the I/O voltage must be boosted to 5V, and the 74HCT245 boost chip is used here.(2) Clock and reset circuit: ZPB-26-16 M is an active crystal oscillator in the clock circuit, and the frequency is 16MHz, which makes the serial port baud rate more accurate. At the same time, it can support the PPL function and ISP download function inside the chip. The reset circuit takes hardware reset and software reset.(3) Debug JTAG and download circuit: Because the soft core ISP and JTAG can be built directly inside the FPGA, the hardware circuit is connected to a JTAG interface of IDC-10.(4) Configuration storage circuit: EPCS16 is selected as the ROM of the FPGA, which can be repeatedly programmed by the download cable or other equipment, and can also be programmed online through the AS interface. Use the 4MHz On-Chip memory inside the FPGA chip as the RAM of the FPGA.(5) Sensor and collision switch: E3F-DS5C4.P1R photoelectric switch, used to detect obstacles and stairs, which is a cylindrical diffusion type with a maximum distance of 5cm, or an adjustable NPN type normally open photoelectric switch. The collision switch mainly cooperates with the front sensor to protect the front of the platform. When the platform hits the obstacle ahead, trigger the switch to make the platform avoid the obstacle.(6) Wireless sending and receiving module: XL02-232AP1 wireless module is a half-duplex wireless transmission module with UART interface, which can work in the 433MHz public frequency band and meet the wireless regulatory requirements.(7) Drive and vacuum motor: The platform adopts the front wheel dual drive, the motor selects the two-phase hybrid stepping type, and the vacuum cleaner motor adopts the DC motor. The main electrical parameters of the stepping motor are: ① Step angle: 1.8°② Phase current: 0.87 A③ Holding torque: 0.24 nm④ Phase resistance: 3.3 Ω⑤ Phase inductance: 5.0 mH⑥ Weight: 0.2 kg(8) Sound and light circuit and automatic cleaning time input display circuit: The sound and light circuit is mainly composed of light-emitting diodes and buzzers, which are directly connected to the FPGA to remind the working state of the platform. Use 4 buttons (OK, Initial, Up, Down) to input the cleaning time, and then three digital tubes display the set time. The cleaning time is counted by the timer inside the FPGA. When the timer is completed, the platform stops working. 4.4 Program Design Points Divide the program into two parts: hardware programming and software programming. For hardware programming, timing simulation of hardware circuits is required to determine the effect of debugging.🔺Hardware Programming and SimulationThe platform mainly generates input signals through sensors and collision switches, and processes the signals through FPGA. Finally, the FPGA transmits the processed signals to the motor, and the motor completes a series of actions, as shown in Table 1. So its logic design is the key to realize intelligence. After the hardware selection is completed, use Quartus II to build the hardware schematic diagram. After compiling, perform timing simulation on jk1, jk2, jk3, and jk4, analyze the timing relationship, estimate the performance of the design, and check and eliminate competition risks.Table 1: Relationship between Motor Status and Platform Working Status. dj1 dj2 dj3 Cleaner Status Turn Forward Turn Forward ON Vacuuming Forward Turn Back Turn Forward ON Vacuuming Left Turn Forward Turn Back ON Vacuuming Right Turn Back Turn Back ON Vacuuming Back The realization of platform work in automatic cleaning mode depends on the cooperative work of sensors (jk1, jk2, jk3, jk4) and motors (dj1, dj2, dj3), and the logical relationship is designed according to their functions.Table 2: Relationship between Sensor Status and Platform Working Status. jk1 jk2 jk3 jk4 Cleaner Status 1 1 1 1 Vacuuming Forward 1 1 0 1 Vacuuming Left 1 0 1 1 Vacuuming Right 1 0 0 1 Vacuuming Forward 0 1 0 1 Vacuuming Forward (Turn 90° Left)  0 0 1 1 Vacuuming Forward (Turn 90° Right)  0 0 0 1 Vacuuming Back When the hardware selection is completed, use Quartus II to build the hardware schematic diagram. After compiling, perform timing simulation on jk1, jk2, jk3, and jk4 to analyze the timing relationship.🔺Software ProgrammingAfter the hardware design and debugging is completed, the software system design is also carried out. Write a C program in a C language file to program the SoPC. The overall algorithm flow of the platform work is shown in Figure 5. When the platform is powered on, firstly enter the automatic cleaning and manual remote cleaning mode. After the automatic cleaning mode is selected, input the working time of the platform's automatic cleaning through the keyboard, and use the sensor to judge whether it encounters obstacles or stairs during the cleaning process. Through the interrupt, check whether the set time is reached at all times. If not, the program will return to running. However, if the set time is up, the program will end and the platform will stop working. When remote cleaning is selected, platform movement is controlled by the operator. Figure 5. Algorithm Flowchart Through hardware selection, construction and debugging, and software language writing and debugging, a simple platform has been successfully made, and various predetermined functions have been realized. Compared with similar products on the market, its structure is simpler, the cost is lower, the flexibility and scalability are stronger, and it provides a hardware-supported platform for researchers to develop more functions, which has practical value. As microprocessors continue to advance and sensing technology evolves, their performance can continue to improve and costs can continue to decline. However, in the process of simulation and implementation, it is found that its specific process algorithm is not rigorous enough, and it is necessary to continue to improve it in the future.   Ⅴ FAQ 1. What is FPGA architecture?The field-programmable gate array (FPGA) is an integrated circuit that consists of internal hardware blocks with user-programmable interconnects to customize operation for a specific application. 2. What are the parts of an FPGA?Structure of an FPGAConfigurable Logic Block (CLB)Digital Signal Processing (DSP) Slice.Transceivers.Block Random Access Memory (BRAM)Input/Output (IO) Blocks. 3. What is a basic unit of an FPGA?The configurable logic blocks (CLBs) are the basic logic unit of an FPGA. Sometimes referred to as slices or logic cells, CLBs are made up of two basic components: flip-flops and lookup tables (LUTs). 4. What is FPGA and its types?FPGA stands for Field Programmable Gate Array which is an IC that can be programmed to perform a customized operation for a specific application. They have thousands of gates. In the field of VLSI FPGAs have been very popular. 5. What is the function of FPGA?FPGAs are mainly used to design application-specific integrated circuits (ASICs). First, you design the architecture of such a circuit. Then, you use an FPGA to build and check its prototype. Errors can be corrected. 6. What is FPGA and its application?The FPGA is Field Programmable Gate Array. It is a type of device that is widely used in electronic circuits. FPGAs are semiconductor devices which contain programmable logic blocks and interconnection circuits. It can be programmed or reprogrammed to the required functionality after manufacturing. 7. What are the advantages of FPGA?FPGA advantagesLong-term availability.Updating and adaptation at the customer.Very short time-to-market.Fast and efficient systems.Acceleration of software.Real-time applications.Massively parallel data processing. 8. What is inside CLB in FPGA?A configurable logic block (CLB) is the basic repeating logic resource on an FPGA. When linked together by routing resources, the components in CLBs execute complex logic functions, implement memory functions, and synchronize code on the FPGA. 9. What are the main applications of FPGAs?Main FPGA applications are: Medical, video & image processing, telecom & datacom, server & cloud and defense and space. FPGA chips are used in both wired and wireless communications. 10. What are the industrial applications of FPGA boards?Such applications include multiple sensor dome cameras, HD (High Definition) cameras, night-vision cameras, etc. FPGAs provide the differentiation factor and the processing power to implement such complex solutions. 11. What are the applications of CPLDs and FPGAs?Applications of CPLDCPLDs can be used as bootloaders for FPGAs and other programmable systems. CPLDs are often used as address decoders and custom state machines in digital systems. Due to their small size and low power consumption, CPLDs are ideal for use in portable and handheld digital devices. 12. What programmable technology is used in a FPGA devices?FPGA emerged from relatively simpler technologies such as programmable read-only memory (PROM) and programmable logic devices (PLDs) like PAL, PLA, or Complex PLD (CPLD). It consists of three main parts: Configurable Logic Blocks — which implement logic functions. Programmable Interconnects — which implement routing. 13. What are the features of FPGA?The basic features of FPGA are: 1) FPGA design ASIC circuit, the user does not need to chip production, you can get a combination of chips. - 2) FPGA can do all other custom or semi-custom ASIC circuit of the sample sample. 3) FPGA has a rich internal trigger and I / O pin. 14. Is a FPGA a computer?An FPGA is a chip consisting of a series of logic blocks which can be modified and configured by the user. ... FPGA are programmable chips and their functionality can be updated multiple times. FPGAs come in array of size and prices and are most likely used in low-mid size volume products.

Introduction Everyone has heard of FPGA more or less, such as Bitcoin mining, or Microsoft said before that it will use FPGA instead of CPU in the data center. So what exactly is it? Why use it? Compared with CPU, GPU, and ASIC, what are the characteristics of FPGA? FPGA is a chip that can reconfigure circuits and is a hardware reconfigurable architecture. Through programming, users can change its application scenarios at any time, and it can simulate various parallel operations of hardware such as CPU and GPU. By interconnecting with the high-speed interface of the target hardware, the FPGA can complete the low-efficiency part of the target hardware, thereby achieving acceleration at the system level. What Is an FPGA? Catalog Introduction Ⅰ FPGA vs CPU vs GPU vs ASIC Ⅱ Five Advantages of FPGA 2.1 Performance 2.2 Time-to-Market 2.3 Cost 2.4 Stability 2.5 Long-Term Maintenance Ⅲ New Applications of FPGA Ⅳ Development Trend of FPGA Ⅴ FAQ Ⅰ FPGA vs CPU vs GPU vs ASIC The core difference between FPGA and CPU, GPU, ASIC chips, etc. is that the connection and logic layout of the underlying operation unit are not solidified. Users can program the logic unit and switch array through EDA software to configure the function, so as to realize the integration of specific functions.FPGA appears as a semi-custom circuit in the field of application-specific integrated circuits (ASIC), which not only solves the shortcomings of custom circuits, but also improves the limited number of original programmable device gate circuits. Compared with ASIC chips, an important feature of FPGA is its programmable characteristics, that is, the user can specify the FPGA to realize a specific digital circuit through the program. Furthermore, FPGA chips are one of the best choices for small batch systems to improve system integration and reliability. Figure 1. FPGA Basic Structure So why is FPGA so fast? This is all because the computer's CPU(central processing unit) and GPU(graphics processing unit) belong to the von Neumann structure, with instruction decoding and execution, and shared memory. FPGAs, on the other hand, are instruction-free and memory-free architectures that make FPGA chips much more energy-efficient than CPUs or even GPUs. Figure 2. Von Neumann Structure In the von Neumann architecture, since the execution unit (such as the CPU core) may execute any instruction, so an instruction memory, a decoder, an operator of various instructions, and branch and jump processing logic are required. Due to the complex control logic of the instruction stream, it is impossible to have too many independent instruction streams. Therefore, the GPU uses SIMD (single instruction, multiple data) to allow multiple execution units to process different data at the same pace, and the CPU also supports SIMD instruction. The function of each logic unit of the FPGA has been determined during reprogramming, and no instructions are required. Figure 3. Computer CPU If the GPU is used for acceleration, in order to fully utilize the GPU computing, the batch size cannot be too small, and the delay will be on the order of milliseconds. Using FPGA to accelerate, only microsecond-level PCle delay is required. Why is FPGA so much lower latency than GPU? This is basically an architectural difference. FPGAs have both pipeline parallelism and data parallelism, while GPUs have almost only data parallelism (with limited pipeline depth).For example, FPGA chips can change the running hardware design on the chip every few seconds, while chips such as CPU and ASIC are already solidified when they leave the factory and cannot be changed. If ASIC, CPU, GPU, etc. are built buildings, and the routes of rooms, corridors, and stairs in the building have been fixed, while the interior of FPGA is similar to the magic staircase in Hogwarts, which can change the route of room to room at any time. In addition, FPGA does not need to compile the instruction system at the software application level like CPU and GPU. To program FPGA, use hardware description language, and directly compile and burn it into a combination of transistor circuits, that is, directly use transistor circuits to implement user algorithms.The biggest feature of FPGA is its flexibility. It can realize any digital circuit you want and can customize various circuits. Reduce the shackles of special chips, truly tailor-made for your own products, you can flexibly change the design during the design process, and have field programmability, so it is especially suitable for applications that require continuous changes in physical operation logic, such as AI algorithm optimization, data center applications, etc. Architecture Throughput（int ops） Delay Flexibility CPU ~1T N/A Very High GPU ~10T ~1ms High FPGA(Stratix V) ~1T ~1us High FPGA(Stratix 10) ~10T ~1us High ASIC ~10T ~1us Low The FPGA is set up by the RAM stored on the chip to reset its working state, so the on-chip RAM needs to be programmed when working. Users can use different programming methods according to different configuration modes, which can be said to be very flexible and convenient. The FPGA has the following configuration modes:🔺Parallel Mode: Parallel PROM, Flash configures FPGA.🔺Master-Slave Mode: One PROM configures multiple FPGAs.🔺Serial Mode: Serial PROM configures FPGA.🔺Peripheral Mode: The FPGA is used as a peripheral of the microprocessor and programmed by the microprocessor. Computational performance compared with CPU: For example, Stratix series FPGAs perform integer multiplication operations, and their performance is equivalent to that of a 20-core CPU, and for floating-point multiplication operations, their performance is equivalent to an 8-core CPU.Computational performance compared with GPU: FPGA performs integer multiplication and floating-point multiplication operations. There is an order of magnitude difference in performance compared to GPU. The computing performance of GPU can be approached by configuring multipliers and floating-point operation components. Figure 4. CPU and GPU Architecture Diagram The core advantage of FPGA for performing computation-intensive tasks: tasks such as search engine sorting and image processing have strict requirements on the return time limit of results, and it is necessary to reduce the delay of computing steps. Under the traditional GPU acceleration scheme, the data packet size is large, and the delay can reach the millisecond level. Under the FPGA acceleration scheme, the PCIe latency can be reduced to the microsecond level. Driven by long-term technology, the data transmission delay between CPU and FPGA can be reduced to less than 100 nanoseconds.The FPGA can build the same number of pipelines (pipeline parallel structure) for the number of data packet steps, and the data packets can be output immediately after being processed by multiple pipelines. The GPU data parallel mode relies on different data units to process different data packets, and the data units need to be input and output consistently. For stream computing tasks, the FPGA pipeline parallel structure has a natural advantage in latency. FPGA is used to process communication-intensive tasks and is not limited by network cards. It outperforms CPU solutions in terms of packet throughput and delay, and has strong delay stability. Therefore, FPGAs have obvious advantages over CPUs when performing large data processing tasks with high repetition rates.By programming the FPGA, the user can change the internal connection structure of the chip at any time to realize any logic function. Especially in industries with immature technical standards or rapid development and change, FPGA can effectively help enterprises reduce investment risks and sunk costs, and is a functional and economical choice. Figure 5. Computer GPU With the evolution of intelligent market demand, highly customized chips (ASIC SoC) have led to a sharp increase in market risks due to the large scale of non-repetitive investment and long R&D cycle. Relatively speaking, FPGA has advantages in the field of parallel computing tasks, and can replace some ASICs in the field of high performance and multi-channel. The demand for multi-channel computing tasks in the field of artificial intelligence (AI) drives the evolution of FPGA technology to the mainstream. Figure 6. ASIC SoC Ⅱ Five Advantages of FPGA 2.1 Performance Taking advantage of hardware parallelism, FPGAs break the sequential execution model and complete more processing tasks per clock cycle, surpassing the computing power of digital signal processors (DSPs). BDTI(Big Data Test Infrastructure), a well-known analysis and benchmarking company, has published benchmarks that show that in some applications, FPGAs can handle many times more processing power per dollar than DSP solutions. Controlling input and output (I/O) at the hardware level provides faster response times and specialized functionality to meet application needs. 2.2 Time-to-Market Despite increasing time-to-market constraints, FPGA technology offers flexibility and the ability to rapidly prototype. Users can test an idea or concept and complete verification in hardware without going through the lengthy manufacturing process of custom ASIC design. This allows users to make incremental modifications and iterate FPGA designs in hours, saving weeks. Commercial off-the-shelf (COTS) hardware provides different types of I/O connected to user-programmable FPGA chips. The increasing popularity of high-level software tools reduces the learning curve and abstraction layers, and often provides useful IP cores (pre-built functions) for advanced control and signal processing. 2.3 Cost The non-recurring engineering (NRE) cost of custom ASIC design far exceeds the cost of FPGA-based hardware solutions. The huge initial investment in ASIC design shows that OEMs need to ship thousands of chips each year, but more end users need custom hardware capabilities that enable the development of tens to hundreds of systems. The nature of programmable chips means that users can save on manufacturing costs as well as long lead times for assembly. System requirements change from time to time, but the cost of changing the FPGA design is negligible compared to ASCI's huge expense. 2.4 Stability Software tools provide the programming environment, and FPGA circuits are the real "hard" implementation of programming. Processor-based systems often contain multiple layers of abstraction that can schedule tasks and share resources among multiple processes. The driver layer controls hardware resources, while the operating system manages memory and processor bandwidth. For any given processor core, only one instruction can be executed at a time, and processor-based systems face the risk of tightly time-bound tasks taking over each other at all times. FPGAs, on the other hand, do not use an operating system, and have true parallel execution and deterministic hardware that focuses on each task, reducing the chance of stability issues. 2.5 Long-Term Maintenance As mentioned above, FPGA chips are field-upgradable without the time and expense involved in redesigning ASICs. For example, digital communication protocols contain specifications that can change over time, and ASIC-based interfaces can create maintenance and forward compatibility difficulties. Reconfigurable FPGA chips can accommodate future modifications. As a product or system matures, users can enhance functionality without spending time redesigning hardware or modifying board layouts.   Ⅲ New Applications of FPGA At present, the FPGAs mainly produced by Xilinx and Altera with the highest market share, which are all based on SRAM technology, and need to be connected to an external memory to save the program when in use. When powered on, the FPGA reads the data in the external memory into the on-chip RAM, and after completing the configuration, it enters the working state. When power off, the FPGA returns to a white chip, and the internal logic disappears. In this way, the FPGA can not only be used repeatedly, but also does not require a special programmer, but only a general EPROM and PROM programmer. So Actel, QuickLogic and other companies also provide FPGAs with anti-fuse technology, which can only be downloaded once. They have the advantages of anti-radiation, high & low temperature resistance, low power consumption and fast speed. They are widely used in military and aerospace fields. FPGA cannot be erased and written repeatedly, which is troublesome and expensive in the early stage of development. Lattice is the inventor of ISP technology, which has certain characteristics in small-scale PLD applications. Early Xilinx products generally did not involve military and aerospace markets, but now a number of products such as Q Pro-R have entered such fields.In the industrial field, FPGA chips are widely used in the industrial field, and are widely used in video processing, image processing, CNC machine tools and other fields to realize signal control and operation acceleration functions. With the development of intelligence and automation technology, the industrial field is gradually shifting from human resources as the core element to intelligent unmanned factories with automation as the core element.Smart electric vehicles will be the mainstream development direction of the automotive industry in the future. At present, the application of FPGA in automotive cameras and sensors is relatively mature. In the artificial intelligence system of automatic/intelligent driving vehicles, the applicability of FPGA will be the most suitable for processing sophisticated ADAS and autonomous driving. Figure 7. FPGA for Auto In the field of automotive electronic system interface and control, FPGA chips are used to control and drive electric vehicle motor control systems, connect various in-vehicle equipment such as driving systems, instrument panels, radar, ultrasonic sensors, etc. control. In the field of video bridging and fusion, FPGA chips can be used to realize functions such as signal bridging of multiple image sensors, 3D surround view video fusion, reversing auxiliary video, and assisted driving video.In the field of communication, the number of 5G base stations has increased, and the FPGA usage of a single base station has increased, driving the increase in FPGA demand. According to estimates, the FPGA consumption of a 5G single base station is expected to increase from 1-3 blocks in the 4G period to 4-5 blocks in the 5G period. Figure 8. RFSoC FPGA Board Target 5G eFPGA technology is superior to traditional FPGA solutions in terms of performance, cost, power consumption, profitability, etc., and can provide flexible solutions for different application scenarios and different market segments. The economic trend of increasing design complexity and falling equipment costs has stimulated the market demand for eFPGA technology.   Ⅳ Development Trend of FPGA First of all, with the commercialization of the new generation of communication technology, the demand for products such as communication base stations, servers, and intelligent terminals will further expand, thereby driving the increase in the market demand for FPGA chips. At the same time, smart cities, smart factories, and consumer electronics pay more attention to the functionality of various smart IoT devices, which will drive the wide application of FPGA chips in smart IoT devices. With the development of the Internet of Vehicles technology, the scale of the use of FPGA chips in the automotive industry will increase day by day to build a more complete Internet of Vehicles and realize smarter autonomous driving functions. Therefore, with the rapid penetration of 5G, the vigorous development of AI and the increasing trend of automotive intelligence, it is expected that the demand for FPGAs in the three fields of communication, AI and automotive electronics will continue to increase in the future, which will also promote The FPGA industry continues to grow.   Ⅴ FAQ 1. What is FPGA and why it is used?The acronym FPGA stands for Field Programmable Gate Array. It is an integrated circuit that can be programmed by a user for a specific use after it has been manufactured. ... These blocks create a physical array of logic gates that can be customized to perform specific computing tasks. 2. Is FPGA faster than GPU?The difference between GPU and FPGA performance is not a static factor, but it does depend on the size of the data set. A study by Sanaullah and Herbordt [7] revealed that FPGA can compute small samples of 3D FFT tens of times faster than GPU. The difference is less clear when the data set gets bigger. 3. Is FPGA faster than CPU?A FPGA can hit the data cell faster and more often than a CPU can do it meaning the FPGA causes more results to occur during an attack. It all goes faster when an FPGA is used. And as a side benefit, no trace of all this is left on the CPU because it's never touched when an FPGA is used. 4. Are FPGAs efficient?Efficiency and Power: FPGAs are well-known for their power efficiency. A research project done by Microsoft on an image classification project showed that Arria 10 FPGA performs almost 10 times better in power consumption. 5. Is FPGA programming hard?FPGA vendors have touted their wares as ideal replacements for DSPs, CPUs, and GPUs – even for all of them in a single device – but they are notoriously difficult for software engineers to program as they are not anything like a conventional processor. 6. What can you do with FPGAs?Uses for FPGAs cover a wide range of areas—from equipment for video and imaging, to circuitry for computer, auto, aerospace, and military applications, in addition to electronics for specialized processing and more. 7. What is the difference between processor and FPGA?Microprocessor vs FPGA: A microprocessor is a simplified CPU or Central Processing Unit. ... An FPGA doesn't have any hardwired logic blocks because that would defeat the field programmable aspect of it. An FPGA is laid out like a net with each junction containing a switch that the user can make or break. 8. What language is used to program FPGA?VerilogTraditionally, FPGAs are programmed using pro-level hardware-description languages such as Verilog or VHDL. 9. How many times can you program an FPGA?There is effectively no limit to the number of times a device can be reconfigured; the configuration is stored in SRAM, which has no write limit. most Fpgas can be passively loaded from a processor, one word at a time. That processor can get the FPGA image from anywhere. 10. What are the advantages of FPGA?FPGA advantagesLong-term availabilityUpdating and adaptation at the customerVery short time-to-marketFast and efficient systemsAcceleration of softwareReal-time applicationsMassively parallel data processing 11. How do you make an FPGA?FPGA design checklistMake sure you have plenty of time to spare.Find a decent computer.If you can afford it, add a big display.Decide which operating system to use.Consider using a virtual machine (VM).Select an FPGA vendor.Pick out a suitable development board.Select an embedded processor to use. 12. What is FPGA for beginners?FPGA stands for Field Programmable Gate Array. As you may already know, FPGA essentially is a huge array of gates that can be programmed and reconfigured any time anywhere. Huge array of gates is an oversimplified description of FPGA. FPGA is indeed much more complex than a simple array of gates. 13. What is FPGA in Verilog?FPGAs are nothing, but reconfigurable logic blocks and interconnects can be programmed by Hardware Description Language like Verilog/ VHDL to perform a specific functionality. 14. Do we need to program the FPGA once powered off?If you have a SRAM-based FPGA, like the Spartan 3, then you have to program it each time it is powered up. The reason for this is that the SRAM which stores the configuration is volatile and loses the programmed configuration after power is switched off. 15. How is FPGA different from microcontroller?One of the main differences between a microcontroller and an FPGA is that an FPGA doesn't have a fixed hardware structure, while a microcontroller does. While FPGAs include fixed logic cells, these, along with the interconnects, can be programmed in parallel by using HDL coding language.

IntroductionMany embedded designs use single board computer based on micro-processor and micro-controller(SBC) and modular system (SoM). However, people with more embedded applications can't bear the delay caused by the response time associated with software. Only the custom hardware can achieve the higher performance that these applications required, and the quickest way to develop custom hardware is to use FPGA. This article will introduce the advantages of using SoM to develop embedded systems that require higher processing power from FPGA, and will also cover the various FPGA SoM, and also discuss how they work when embedded in design and development.What is an FPGA? Intro for BeginnersCatalogs CatalogsFPGA: The Role of Modular SystemNew SoM based on SoC with processor and FPGAFunctions of SoM and SBCConclusion FPGA: The Role of Modular SystemThe modular system (SoM) can help designers to develop special shape size embedded systems with custom interfaces without having to develop kernel processing systems from scratch. Designers can insert SoM which has pre-designed and tested into pre-designed or customized cards to create embedded designs with the same functions as fully customized designs, but take much less time to develop hardware.Using SoM has several advantages over developing hardware from scratch as follows:1) Saving cost( in the process of developing and debugging the circuit board based on SoC, the non-recurrent engineering cost will be very high.)2) Multiple choices(benefiting the insertion ability of SoM)3) Developing hardware and software at the same time4) Reducing design risks5) Small packagesThe market, once dominated by microprocessors and micro-controllers, is now replaced by SoM, with through holes and socket components losing their leading role. Pin compatibility allows designers to select from a range of compatible processors that have the correct clock speed and appropriate on-chip memory capacity. However, with the increase of the number of pins and the adoption of surface mount packaging technology, this design method has become obsolete. And SoM has emerged as the times require, its shape size and substrate surface have the same function as the previous series of pin compatible micro-controllers.If SoM is used as the computing platform of the project, the design engineer can concentrate his energy and resources to develop the final application without being lost in the details of designing computing platform. For example, at the clock speed of hundreds of megahertz (MHz), the layout of the SDRAM circuit board connected to the application processor becomes increasingly difficult due to differential wire delay, noise, crosstalk and many other challenges. However, SoM vendors have done a lot of design work before the start of the project, which can solve these problems and cut the time of product launch.To select the appropriate SoM series for embedded development projects, we must carefully analyze various factors, including the expected requirements of embedded resources, as well as the design extendibility, future adaptability and ease of use. This helps to select the appropriate shape and substrate size of SoM, providing alternative options to meet known challenges and unexpected future challenges. If the selected SoM family includes multiple product members and has compatible appearance dimensions and connector base surfaces, the selection of the designers can be expanded to make the product better able to withstand the test of the future. New SoM based on SoC with processor and FPGASoM usually uses SoC which includes multiple application processors, but a new embedded processor, SoC, integrating FPGA, applies to the SoM design either, like the Zynq®-7000 SoC, Xilinx’s fully programmable processor. Xilinx Zynq-7000 SoC integrates the software programmability of Arm Cortex-A9 application processors with the hardware programmability of FPGA. Arm microprocessor, built in Zynq SoC,  combines enhanced peripherals with SDRAM memory controllers (called Zynq SoC's "processing systems" or "PS"), and performs all the software-based tasks typically handled by embedded microprocessors or microcontrollers, while integrated FPGA (known as Zynq SoC's PL: Programmable Logic) provides hardware I / O response time and hardware acceleration for embedded tasks that require faster execution speed.Xilinx Zynq SoC offers a variety of processor configurations and speeds, with even more options for FPGA structures on a chip. Choosing the SoM family based on hybrid processor FPGA SoC can expand the selection range and improve the future adaptability of the product, like Xilinx Zynq-7000 series. One example of such a SoM series is the use of the TE0782 family from Trenz Electronic (Fig.1) and the SoM supporting test panel TEBT0782-01 which adopts the Xilinx Zynq-7000. Three Members of the SoC FamilyTE0782-02-035-2I based on Xilinx Zynq Z-7035 SoCTE0782-02-045-2I based on Xilinx Zynq Z-7045 SoCTE0782-02-100-2I based on Xilinx Zynq Z-7100 SoCAll three SoMs have the same connector substrate, including three Samtec LSHM nonpolar connectors and hundreds of I / O pins, in addition, there are power and grounding pins between the SoM and the board.Fig.1 Trenz Electronic TE0782 SoMFig.1: TE0782 SoM from Trenz Electronic uses one of three Xilinx Zynq Z-7000 SoC models, as well as providing 1GB SDRAM and other non-volatile memory.The best way to see the flexibility of SoM design is to look at the TE0703 carrier board of the TE0782 SoM family, and then go back to SoM through the I / O pins to see SoM's resources.Fig.2: Trenz TE0703 Board Divides Many I / O Pins from the Relevant 4 x 5 cm SoM Boards to the Rest of the Embedded System.Many of the important I / O functions separated from the SoM board are shown in the block diagram of TE0703 as follows:1 Gbit/s EthernetUSB and Micro-USBHundreds of I/O pins(it can be configured as a singular I / O pin, or as a low-voltage differential signal pair.)Fig.3 Physical Map of Trenz TE0703-05( Trenz TE0703 family) Functions of SoM and SBCProcessing speed, response time and I / O capability are significant characteristics of SoM. However, embedded systems often integrate SBC, such as Arduino Uno and Raspberry Pi, because these products also have wide-ranging technique support. So Trenz Electronic also offers related versions of Arduino and Raspberry Pi: TE0723-03M ArduZynq and TE0726-03M ZynqBerry based on Xilinx Zynq-7000 SoC. These SBC bridges many existing plug-in cards, such as the expansion boards of  Arduino and various Raspberry.The FPGA capacity of Zynq Z-7010 SoC integrated into TE0723-03M ArduZynq and TE0726-03M ZynqBerry SBC is significantly different from that of FPGA integrated into three Trenz Electronic SoMs (using Zynq Z-7035 Zynq Z-7045 and Zynq Z-7100 SoC ). Although all Zynq-7000 SoC apply dual-core Arm Cortex-A9 processor, their FPGA on components are different. Volume of the Xilinx Zynq SoC Programmable Logic Unit Block RAM (MB) DSP slices is Z-701028K2.180Z-7035275K17.6900Z-7045350K19.2900Z-7100444K26.52020, Xilinx Zynq-7000 SoC (Z-7035, Z-7045 and Z-7100) used in Trenz Electronics SoM provides more FPGA resources than that of Zynq Z-7010 used in Trenz Electronic ArduZynq and ZynqBerry SBC.Xilinx Zynq-7000 SoC (Z-7035, Z-7045 and Z-7100) used in Trenz Electronics SoM provides more FPGA resources than that of Zynq Z-7010 used in Trenz Electronic ArduZynq and ZynqBerry SBC. In addition, TE0723-03M ArduZynq and TE0726-03M ZynqBerry SBC provide only 512-MB on-board SDRAM, while TE0782 SoM provides 1GB.Trenz Electronic provides various boards for its SoM, including TE0703-05, TE0706-02, TE0701-06, and TEB0745-02, which provide a lot of standardized I / O functionality. A certain card may be suitable for a particular embedded application, but the embedded system design can also be split into a customized design board that can accept SoM series products to meet different processing requirements. This flexibility highlights the advantages of using the SoM family as the basis for embedded design. And consistent standardized connector substrate allows SoM to be easily interchangeable to accommodate changes in system specifications. ConclusionSoM can significantly cut the time requirement of prototype embedded systems and reduce project risk. As long as the SoM profile and connector substrate are supported,  more FPGA resources of SoM can be inserted to meet the growing demand. In addition, a variety of compatible SoM based on Xilinx Zynq-7000 SoC combine the processing power of dual-core Arm Cortex-A9 processor with FPGA resources, which is helpful to accelerate the development of embedded design. The embedded design method based on SoM can not only shorten the time required to develop the hardware part, but also allow the software development to start earlier in the project, thus reducing the design cost. FAQ1. What is a FPGA used for?Image result for FPGA and ProcessorFPGAs are mainly used to design application-specific integrated circuits (ASICs). First, you design the architecture of such a circuit. Then, you use an FPGA to build and check its prototype. Errors can be corrected. 2. Is an FPGA a processor?With an FPGA, there is no chip. The user programs the hardware circuit or circuits. The programming can be a single, simple logic gate (an AND or OR function), or it can involve one or more complex functions, including functions that, together, act as a comprehensive multi-core processor. 3. What is difference between FPGA and processor?CPUs offer the most versatility and so are the best suited to perform general purpose computing. FPGAs can be used to perform more specific and specialized tasks but are not ideal for general computing purposes. 4. How many times can you reprogram an FPGA?Altera guarantees you can reprogram windowed EPROM-based devices at least 25 times. Altera does not specify the number of times you can reprogram or reconfigure FPGA devices because these devices are SRAM-based. An SRAM-based device can be reconfigured as often as a design requires; there is no specific limit. 5. What is SoM FPGA?The CompactRIO System on Module (SOM) is a small, flexible, embedded computer for industrial applications that require high performance and reliability. It combines an ARM processor, the NI Linux Real-Time OS, a programmable Xilinx FPGA, and a high-density connector to interface with application-specific I/O. You May Also LikeDiscussion on the influencing factors of clock in FPGA designTo Solve the Problems of Cloud Skyrocket--Edge Processing