What is the Difference Between SoC and FPGA?

SoC FPGAs combine processors and Field Programmable Gate Arrays (FPGAs) into one integrated device. As a result, they can support a range of multimodal computational tasks and help reduce power consumption. They can also help improve the reliability of systems.

SoC and FPGA are semiconductor chips that sit on chip platforms. However, the two differ in their approach to designing and integrating them into a system. The SoC architecture combines several different processing components into one device. As a result, it is a powerful and flexible way to implement complex logic.


A SOC chip contains the essential hardware that a computer uses to perform many tasks. It may include an operating system and other hardware, such as voltage regulators and power management circuits. It may also have an analog interface for communicating with various sensors and actuators. Finally, it may also include a microprocessor or a digital signal processor.

On the other hand, an FPGA consists of a series of programmable logic devices, which enable chipmakers to implement a flexible system that can evolve and adapt over time. This flexibility is essential in new markets where standards, protocols, and best practices are constantly changing. Some FPGAs can even be SoCs in their own right, such as those used in video game consoles.


While large-scale hardware depends on an IP design model, software and hardware are often co-designed. As a result, SoC is similar to the advantages of cities over rural areas: more supporting circuits can be placed on a single chip, reducing the overall area and cost of the system. In addition, on-chip interconnectivity is comparable to an urban expressway, delivering high speeds and low power consumption.

An FPGA can be a faster route to full production than an ASIC but is not without drawbacks. For example, an ASIC may have more complexity and require more rigorous engineering techniques to create. But in terms of performance, FPGAs are still the preferred choice for many product companies. In addition, FPGAs can be a good option if a customer is looking for a quick and easy proof of concept.

FPGAs can also be field programmable, allowing changes without the manufacturer’s intervention. The main drawback to both design types is the high entry barrier. But FPGAs are much cheaper to develop compared to ASICs.


There are many advantages to designing your own ASIC. The first advantage is its cost-effectiveness. If you are developing a complex SoC, ASIC is often more affordable than FPGA design. This is especially true for large designs and those with stringent power requirements.

Another advantage of ASICs is their permanent nature. As a result, ASICs can integrate large quantities of circuitry onto a single chip. This allows them to provide better performance and lower power consumption. They can also reduce overall Bill-of-Materials and per-unit manufacturing costs.

Compared to FPGAs, ASICs are faster, allowing developers to optimize performance. They are also more flexible. With their low-power features, ASICs are ideal for low power consumption. These low-power features help preserve battery life. In addition, ASICs can implement mixed-signal and analog circuits.

ASICs are also more versatile than FPGAs, enabling designers to translate a single ASIC to multiple FPGAs. ASICs also require minimal die space, making them more cost-effective than FPGAs. This is an excellent benefit for a designer who wants to reuse a design across multiple applications.

FPGAs are a good choice for production because they allow engineers to use more standard functions. They also reduce costs, increase capacity, and enhance performance. They are also faster to develop and faster to market. In addition, ASIC production is cheaper than FPGA production, making them a more popular choice for many customers.

Whether you plan to use an ASIC or FPGA for your next project depends on your design requirements. FPGAs have many advantages over ASICs, but the benefits are clearer with recent advances in the FPGA field.


There are some differences between an MCU and an FPGA. While an MCU has a fixed set of instructions, an FPGA is flexible and can have various functions. The two are similar in many ways, but their main difference is their operating speed. FPGAs are generally faster but are still not as efficient as CPUs.

An FPGA is more flexible, but there is a learning curve. The learning curve for programming an FPGA is steeper than for an MCU, which is the typical use for it. An MCU can perform more complex signal processing, but an FPGA can handle lower-speed applications. In addition, an FPGA can also accommodate low-latency requirements.

Security is another important consideration when selecting an FPGA. Modern devices need to protect valuable IP and sensitive data. An FPGA can protect these assets from counterfeiting and cloning. Similarly, an MCU is safe against attacks on its hardware. While these two processors can perform different functions, they are both general-purpose computing devices.

MCUs are typically cheaper than FPGAs. However, FPGAs have a wide range of uses and are more flexible. While the former is ideal for simple applications, FPGAs can be used to develop complex applications. However, these devices are not for beginners.

Flash-based FPGA

Flash-based FPGAs depend on flash memory. They have many integrated functions and are more power-efficient than SRAM-based FPGAs. As a result, the flash-based FPGA can support many application requirements, including embedded-system support functions. The flash-based FPGA can also run at low power levels.

The flash-based FPGA is more advanced than a traditional FPGA. It contains dedicated functions that can reduce system design time, increase logic utilization, lower power consumption, and improve system performance. It also minimizes the area required on the printed circuit board. In addition, unlike SRAM-based FPGAs, flash-based FPGAs have non-volatile memory cells that save essential logic resources while implementing complex functions that are impossible on a logic fabric.

A Flash-based FPGA has the advantage of having a large storage capacity and fast data transfer. In addition, it can support multiple control planes, Gigabit Ethernet, dual PCI Express, and multiple Ethernet. This type of FPGA can also support video processing and secure connectivity.

Flash-based FPGAs use on-chip flash memory for configuration data. However, they still have SRAM-based configuration cells. The on-chip controller copies the configuration data from the flash memory to the SRAM cells. This feature allows Flash-based FPGAs to power up faster than their SRAM cousins.

Embedded FPGA

SoCs and FPGAs are both programmable logic devices. The difference between them lies in the way they implement physical layer functionality. While their predictability is acceptable, they do not offer soft cores’ flexibility. On the other hand, soft cores are designed using netlist and HDL files and are highly flexible and customizable. As a result, they are an excellent fit for embedded applications and can significantly reduce the risk of an SoC if the hardware is not scalable.

CPUs and FPGAs are radically different devices but compete for similar embedded system tasks. Choosing which approach is best for your application depends on each device’s capabilities and your engineers’ expertise. When combining FPGAs and CPUs, you need to make sure that they are compatible with each other. Successful integration of these two components is crucial to real-time performance.

CPUs are often easier to develop, maintain, and upgrade than FPGAs. But FPGAs are often used for more complex computation tasks. A good example is 3D MRI image segmentation, a complex task requiring a high level of parallel processing. A PET/MRI system can benefit from this advanced technology as it allows for fast, efficient signal processing.

Embedded FPGAs are very flexible. This allows developers to upgrade the system without redesigning the hardware. They also enable system designers to add unique functions by programming the array. This feature can significantly improve the design flexibility of an embedded FPGA.

*Security Vulnerability Analysis of SoCFPGA Architectures

Full pcb manufacturing

SoCs often consist of multiple processors. These processors can comprise multiple architectures, such as Stratix 10, Gem5, ARM Cortex-A53, and Xilinx ZU+ MPSoC ZCU102. The security of these systems depends on their security mechanisms.


Gem5 is a software tool for performing security vulnerability analysis of SoCFPGA architectures. This tool provides a complete analysis of the security vulnerability of an SoC, including its RAM, memory, and cache. In addition, its powerful simulator can simulate various attacks on accelerators and FPGAs. It also provides a threat model that can help identify mitigation strategies.

Moreover, gem5 simulates the microarchitecture. This can be advantageous to speed up the security vulnerability analysis. Simulating multiple architectures simultaneously makes it possible to analyze the security vulnerabilities in a much shorter time than in a real device. In addition, the tool can simulate various attacks, including side-channel leaking and fault injection.

Moreover, a good security vulnerability analysis tool must identify all the vulnerabilities in the source code. Besides, it should also be able to expose changes in the microarchitecture state. In addition, it should have a monitoring infrastructure that can help demonstrate the different attack methods.

Stratix 10

According to a security vulnerability analysis by Intel, Stratix 10 FPGA firmware contains vulnerabilities that allow privilege escalation and information disclosure. The company is currently releasing software updates to mitigate the vulnerability. However, users must still be aware of buffer restrictions. This may lead to a DMA attack during the processor’s boot process.

The Stratix 10 SoCFPGA architecture features 5.5 million logic elements and a programmable fabric that supports clock rates of up to 1GHz. Its integrated 64-bit ARM quad-core Cortex-A53 processor cores enhance the capabilities of the FPGA. It also features 1.5GHz processor cores. These features make Stratix 10 SoCs a perfect 5G wireless communication solution.

A key element of the Stratix 10 SoCFPGA is the HyperFlex architecture. This architecture addresses routing congestion, one of the biggest performance bottlenecks. Routing delays are a significant problem in FPGAs, and increasing internal bus width worsens routing congestion. To solve this problem, HyperFlex architecture introduces Hyper-Registers on all routing segments. These registers are ten times larger than traditional logic registers.

The Stratix 10 SoCFPGA architecture also incorporates Intel’s 3D SiP technology, which uses silicon bridges called EMIBs to link the main FPGA die to a high-speed serial transceiver or protocol tile. This eliminates the need for through-silicon vias, reducing complexity and cost. Further, it ensures the signal integrity of the system.

ARM Cortex-A53

A gray-box assessment can’t determine if an attack is successful without full access to the components. While some previous work attempts to provide such a framework, other approaches rely on static and dynamic analysis. Still, others measure cache hits and misses directly. In our tests, we used a Cortex-A53 SoC and two development boards.

One attack is a privileged execution mode that relies on cache coherency. A CPU-bound execution mode is vulnerable to this attack because it relies on critical data and code in the cache. The exploit takes advantage of a hardware Trojan that continuously injects memory transactions into the CPU and increases the miss rate of the L1 data cache.

Several security features protect the SoC, such as Secure Boot and the Hardware Security Module (HSM). For example, the Secure Boot feature is essential for the security of a real-time operating system. Also, the Secure Implementation of the Random Number Generator (RNG) and Timers (RTC) is crucial for overall protection.

A good vulnerability detection process must efficiently anticipate and uncover new attacks. This means analyzing cache timing traces to identify vulnerabilities. The analysis must consider the underlying architecture and the context. The analysis should also account for third-party processes.

Security vulnerabilities are a common problem in today’s SoCs. The latest attacks depend on vulnerabilities in the microarchitectures of modern processors. To combat these attacks, manufacturers implement isolation techniques. But the cache memory, which keeps track of program execution, is vulnerable to side-channel and transient execution attacks.

Xilinx ZU+ MPSoC ZCU102

This security vulnerability analysis focuses on a ZCU102 board with an MPSoC. The board features two security vulnerabilities, both of which are related to partition header table parsing. One bug allows attackers to execute arbitrary code. The other is patchable, but Xilinx has not yet released a software solution. Hence, an intruder can decide to bypass the software fix by exploiting the first one.

The vulnerability impacts Xilinx ZU+ MPSOC ZCU102 and Xilinx Zynq UltraScale+ P/Ns. It also affects hardware root boot mode, which authenticates boot headers. A hacker can exploit the vulnerability by modifying the boot image. This can compromise the integrity of the boot process, resulting in authentication and confidentiality breaches.

Xilinx ZU+ MPSOC ZCU102 provides security functionality using hardware accelerators. It also features a Configuration Security Unit (CSU), which provides interfaces to secure a system. You can also refer to the Zynq UltraScale+ MPSoC Embedded Design Tutorial, which includes security and secure boot sections. In addition, you can check out the Xilinx Community Forums to get answers to common questions. The Community Portal also showcases Xilinx in the Open Source space.

Xilinx ZU+ MPSOC ZCU102 offers several security features designed to help mitigate DMA attacks. In addition, the ZU+ MPSoC also offers high-performance memory interfaces via ACP. ACP enables the hardware accelerator to allocate cache lines within L2 cache.

For secure boot, the Zynq UltraScale+ MPSoC device has a BootROM that runs code from the Configuration and Security Unit (CSU). The CSU uses code from BootROM to execute FSBL. This code can authenticate the system and decrypt data partitions.

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