Field Programmable Gate Arrays (FPGAs) services have become a critical technology in the hardware domain, especially in industries that require high performance, low latency, and flexibility in hardware designs. Though FPGAs have existed for several decades, advancements in their capabilities and applications have made them more relevant today. As Victor Peng, President and CEO of AMD Xilinx, emphasizes,
"FPGAs have evolved from niche tools for specialized hardware to mainstream technology essential for cloud computing, data centers, and edge devices, providing unmatched flexibility and performance".
This article dives into the use FPGAs, how they work, and with what challenges struggle.
See also:
ASIC vs FPGA: Which SoC Solution Is Right for Your Next Project?
A Practical Guide to Connecting MCU to FPGA for Enhanced Functionality
FPGA vs. Microcontrollers for Industrial Edge AI: Performance & Latency Comparison
An FPGA is an integrated circuit (IC) that can be configured by the user after manufacturing, hence the term "field-programmable." Unlike fixed-function Application-Specific Integrated Circuits (ASICs), which are custom-designed for a specific task, FPGAs are reprogrammable and can be configured to perform different logic operations or functions. This makes them highly versatile for various applications across industries.
FPGA is an advanced architecture offering immense flexibility for creating complex digital systems. Understanding the construction of FPGA is essential for professionals aiming to fully leverage its potential in hardware design. That flexibility comes with cost and complexity, so the choice of FPGA vs microcontroller should rest on what the application truly demands.
At the core are the CLBs, which are much more than just standard logic gates. These blocks contain:
Each CLB is fully configurable, meaning the FPGA can be dynamically adapted to a wide range of tasks, from signal processing to implementing AI algorithms.
The network of programmable interconnects is the true power of FPGA. While the CLBs define what the circuit does, the interconnects determine how the CLBs communicate with each other. This programmable infrastructure allows precise control over data flow and logic, enabling both simple combinational logic and complex multi-level structures. This makes FPGAs a versatile platform – they can be reconfigured on the fly for different applications, which is invaluable in areas such as adaptive signal processing or dynamic resource management in networks.
Flexible and efficient I/O modules enable FPGA to integrate with a wide range of external devices, from high-speed DDR4 memory to high-bandwidth interfaces like PCIe, Ethernet, or HDMI. With configurable signal standards, FPGAs can handle various protocols, making them ideal for complex embedded systems or real-time systems.
Modern FPGAs come equipped with dedicated memory blocks like SRAM or BRAM, allowing local data buffering without the need for external memory. These integrated low-latency RAM blocks are perfect for data-intensive applications such as machine learning algorithms or fast cryptographic algorithms.
High-end FPGAs often feature advanced DSP blocks optimized for tasks related to signal processing, such as signal filtering, FFT operations, or even convolutions in neural networks. DSP blocks allow the direct implementation of complex mathematical operations without burdening the general logic of the circuit, speeding up processing time and minimizing resource usage.
PLLs are invaluable tools for precise clock management in FPGA. PLLs enable the generation of multiple clock signals at different frequencies, which is crucial in systems requiring synchronization of many components, such as multi-band systems or IoT devices managing various communication interfaces.
At the core of FPGA's programmability is the configuration interface, allowing dynamic loading of the bitstream. Through JTAG, SPI, or other interfaces, users can quickly reprogram the FPGA, enabling real-time system reconfiguration. This feature makes FPGA unique in applications requiring high flexibility, such as adaptive systems, networking devices, or compute servers dedicated to specific algorithms. Using that reconfigurability well takes specialist RTL experience, one of the criteria used to rank the top FPGA development companies.
FPGA programming is an advanced topic that requires a deep understanding of digital hardware and familiarity with hardware description languages such as VHDL or Verilog. Unlike traditional software, which runs on sequential processors, FPGA programming allows for the design of custom, highly parallel hardware architectures, resulting in exceptionally high performance and low latency in tasks requiring real-time processing, and this is exactly what we deliver through our FPGA design and development services. FPGA developers must think in terms of parallel data processing, breaking down algorithms into logical blocks, and optimizing signal paths.
This process includes HDL code synthesis, mapping logic to hardware resources, and timing analysis to meet strict timing requirements. Unlike traditional ASIC design, FPGAs offer the advantage of reconfigurable hardware after deployment, enabling functionality updates or adjustments to changing system requirements without the need to manufacture new chips.
Additionally, the integration of DSP blocks, RAM, and external interfaces enables the creation of more advanced and complex designs. As a result, FPGA programming is crucial in areas such as signal processing, AI algorithm acceleration, high-speed network protocol implementation, and cryptographic applications. Thanks to modern EDA (Electronic Design Automation) tools, this process has become more automated, enabling faster design iterations and more precise verification of functionality and performance optimization at the hardware level.
CLB counts and datasheets do not tell you whether your design will close timing. Our engineers write and verify RTL for Zynq and similar SoC platforms under production constraints.
Get FPGA logic that meets timing on real silicon
FPGA and ASIC are often compared because they serve similar functions but have distinct characteristics, and we walk through the full trade-off in ASIC vs FPGA for SoC projects. The choice between them typically comes down to key project requirements such as flexibility, cost, time to market, and performance.
| Feature | FPGA | ASIC |
| Reconfigurability | Yes | No |
| Performance | Lower | High |
| Energy Efficiency | Lower | High |
| Unit Cost | Higher | Lower |
| Design Cost | No NRE | High NRE |
| Time to Market | Shorter | Longer |
| Prototyping | Available | Lack of post-production capability |
| Production Scalability | Cost-effective for low to medium production scale | Cost-effective only for large-scale production |
Tab. 1 Comparison FPGA and ASIC
Read more about differences between FPGA and ASIC.
Due to their flexibility, FPGAs are used across a wide range of industries. Below are some of the most notable applications:
In real products the FPGA rarely replaces the processor: the MCU keeps connectivity and system state, while the fabric handles the timed data path. Our practical guide to connecting an MCU to an FPGA covers the interfaces, clock domains and buffering that make such pairing reliable.
We size the decision against your production volume, latency budget and update path, then deliver the design either way. Start with a short technical review.
Ask us whether FPGA or ASIC fits your volumes
Not sure where to start? We work with companies at every stage, from early ideas to enterprise-level builds. A 30-minute call can save you months of guesswork.
An FPGA (field-programmable gate array) is an integrated circuit whose internal logic and wiring are configured after manufacturing, so the designer builds custom digital hardware rather than writing instructions for a fixed CPU. A microcontroller executes code sequentially on one or a few cores; an FPGA runs many operations in parallel in lookup tables, DSP blocks and block RAM. That gives FPGAs deterministic, low latency for signal processing and high-speed I/O, at the cost of harder development and higher unit price.
An FPGA is programmed by describing hardware in a hardware description language such as VHDL or Verilog, or through high-level synthesis from C++, then running synthesis, place and route, and timing analysis in vendor tools such as AMD Vivado or Intel Quartus. The output is a bitstream. Most FPGAs are SRAM-based, so the bitstream is loaded at every power-up from an external SPI flash or a host processor, while JTAG is used mainly during development and debugging.
An FPGA is usually the better choice than an ASIC when production volumes are low to medium, requirements may still change, or time to market matters more than unit cost. An ASIC needs mask sets and fabrication runs whose fixed cost only pays back at high volume, and any logic error means a new silicon spin. An FPGA can be updated in the field. The ASIC wins on power, performance and unit price once the design is stable and volumes justify the investment.
Timing closure is the point at which every signal path in an FPGA design meets its clock constraints after place and route, so the logic works reliably at the target frequency. It often becomes the schedule risk because problems appear late: a design that simulates correctly can still fail timing at 250 MHz on real silicon. Fixes involve pipelining, floorplanning, clock domain crossing work or restructuring logic, and each iteration can take hours of tool runtime on large devices.
An SoC FPGA combines hard processor cores and programmable logic on one chip, for example AMD Zynq devices with Arm Cortex-A cores next to the FPGA fabric. The processor runs Linux or an RTOS for connectivity, configuration and system state, while the fabric handles the timed data path such as sensor capture, motor control or protocol processing. It is worth using when the design would otherwise need a separate processor and FPGA, because it removes a board-level interface and reduces latency between them.
The main risks of an FPGA design are specialist engineering effort, verification time and power consumption rather than the chip price alone. HDL development requires thinking in parallel hardware, and bugs found on the board are slower to diagnose than software bugs. Simulation, testbenches and hardware-level verification often take as long as writing the logic. Teams should also account for tool licences, bitstream security, configuration flash, multiple supply rails and long-term availability of the chosen FPGA family.
Adam Szychulec is Deputy CTO at InTechHouse and an electronics and embedded systems engineer with over 13 years of experience in hardware development, FPGA-based systems, embedded software, and technical leadership.
He specializes in electronic system architecture, analog and digital PCB design, FPGA and SoC development, embedded C/C++ software, and managing the complete lifecycle of complex engineering products - from early feasibility studies and technical architecture through development, testing, production introduction, and product modernization.
Adam has extensive experience leading multidisciplinary R&D teams and coordinating electronics, embedded software, mechanical engineering, testing, and project delivery. His responsibilities have included technical decision-making, project planning, risk and change management, budgeting, product testing, new product introduction, and mid-life upgrades of existing electronic systems.
His project experience includes FPGA modules for space applications, electronic systems and payloads for unmanned aerial vehicles, environmental monitoring and multispectral imaging platforms, power electronics, DC-DC converter assessment, and embedded systems developed for demanding industrial and defence-related applications.
Adam works with FPGA and SoC platforms, Xilinx Zynq, VHDL, Vivado, Altium Designer, ARM microcontrollers, embedded C/C++, Linux, digital electronics, and power electronics. He holds bachelor's and master's degrees in Electrical Engineering and is an IPC Certified Interconnect Designer. He writes about FPGA architectures, electronics design, embedded systems, hardware product development, technical risk management, UAV electronics, power electronics, and engineering leadership.
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