Hardware Defines Software? Or Software Defines Hardware?

Hardware Defines Software? Or Software Defines Hardware?

Source: Software-Hardware Integration Author:Chaobowx 1 Software and Hardware 1.1 Definitions of Software and Hardware Instructions are the medium between software and hardware, and the complexity of the instructions determines the degree of decoupling between the system’s software and hardware. Based on the complexity of unit calculations (instructions), processor platforms can be roughly divided into CPU, … Read more

From FPGA to ASIC: The Journey of AI Chip Design

From FPGA to ASIC: The Journey of AI Chip Design

Perhaps some team is designing an embedded inference engine for edge computing, or is furthering automotive vision processing, or perhaps they possess insights in the data center domain that can challenge NVIDIA and Google! However, amidst the broad performance demands, environments, and applications, AI accelerator architectures face unique challenges not only in design but also … Read more

Mainstream Autonomous Driving Chips: GPU, FPGA, ASIC

Mainstream Autonomous Driving Chips: GPU, FPGA, ASIC

The current mainstream AI chips can be divided into three categories: GPU, FPGA, ASIC. Both GPU and FPGA are relatively mature chip architectures and belong to general-purpose chips. ASICs are chips customized for specific AI scenarios. The industry has confirmed that CPU is not suitable for AI computing, but it is still indispensable in the … Read more

Implementing Neural Networks on FPGAs

Implementing Neural Networks on FPGAs

Author | Shawn Ouyang, System Architect at Ruijun Micro UK R&D Center; Dr. Andrew, Fellow at Ruijun Micro UK Research Center 1. Introduction FPGA is a device for implementing programmable digital logic. Similar to circuit architectures like CPU, GPU/NPU and dedicated ASIC, FPGAs have also begun to be widely used for implementing neural networks (NN). … Read more

Understanding CPU, GPU, ASIC, and FPGA

Understanding CPU, GPU, ASIC, and FPGA

Source: ZTE Document Original Author: ZTE Document In today’s rapidly changing technology landscape, computing power has become a crucial driving force for social progress and industrial upgrading. In this vast ocean of computation, CPU, GPU, ASIC, and FPGA serve as the four core forces, each playing an irreplaceable role. CPU The CPU (Central Processing Unit) … Read more

How FPGA Technology Will Develop?

How FPGA Technology Will Develop?

Due to its outstanding performance and versatility, FPGA (Field Programmable Gate Array) has attracted a wide range of enterprises. Furthermore, even after deployment, it has the characteristic of adopting new standards and modifying hardware according to specific application needs. On the other hand, “gate array” refers to the two-dimensional array of logic gates in the … Read more

11 Recommended FPGA Learning Platforms

11 Recommended FPGA Learning Platforms

1、Xilinx Official Website Website:https://china.xilinx.com/ Xilinx’s FPGAs currently hold the largest market share. When using their chips, reading Xilinx’s materials is unavoidable, such as learning the development tool Vivado, various IP cores, etc. At the same time, Xilinx also provides many relevant technical reference solutions, which are highly valuable. 2、WORLD OF ASIC Website:http://asic-world.com/ This is a … Read more

Differences Between ASIC and FPGA Design: Future Prospects

Differences Between ASIC and FPGA Design: Future Prospects

Which is better, ASIC or FPGA? What are the differences in their processes? Is it necessary to switch from FPGA to ASIC design? Various questions about ASIC and FPGA are frequently seen online. ASIC (Application Specific Integrated Circuit) refers to integrated circuits designed and manufactured to meet specific user requirements and the needs of specific … Read more

Differences Between FPGA, CPU, GPU, and ASIC

Differences Between FPGA, CPU, GPU, and ASIC

1. Why Use FPGA? As we all know, the Moore’s Law for general-purpose processors (CPU) has entered its twilight, while the scale of machine learning and web services is growing exponentially. People are using custom hardware to accelerate common computing tasks, but the rapidly changing industry demands that this custom hardware be reprogrammable to perform … Read more

Collecting FPGA Knowledge and Chip Technology

Collecting FPGA Knowledge and Chip Technology

Some time ago, I shared the “Research Report on China’s FPGA Chip Industry (Part 1)“. Today, I will continue discussing FPGA technology. CCI-Techat FPGAs can be used to handle various compute-intensive tasks. Relying on a pipelined parallel structure, FPGAs have a technical advantage over GPUs and CPUs in terms of latency for returning computation results. … Read more