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
Source: Content from the public account ZYNQ, thank you! Both CPUs and GPUs belong to the von Neumann architecture, which involves instruction decoding and execution with shared memory. The reason FPGAs are faster than CPUs and GPUs is fundamentally due to their architecture, which lacks instructions and shared memory. In the von Neumann structure, since … Read more
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
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
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
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
Source: Chip Intelligence 1. Definition and Classification of FPGA Chips 1. Definition and Physical Structure of FPGA Chips FPGA (Field Programmable Gate Array) chips are developed based on programmable devices (PAL, GAL) and are semi-custom, programmable integrated circuits. Inventor: Ross Freeman, co-founder of Xilinx, invented the FPGA integrated circuit structure in 1984. The world’s first … Read more
(Source: techspot) Graphics Processing Units (GPUs) and Field Programmable Gate Arrays (FPGAs) are two of the three main types of processors used for imaging and other heavy computations. The Central Processing Unit (CPU) is the third type. Let’s delve into the main differences between GPUs and FPGAs, their advantages, common use cases, and when to … Read more
In recent years, the concept of FPGA has become increasingly prevalent. For example, Bitcoin mining has seen the use of FPGA-based mining machines. Additionally, Microsoft previously announced that it would use FPGAs “instead of” CPUs in data centers, among other applications. In fact, FPGA is not unfamiliar to professionals, as it has been widely used … Read more
Last year, the AspenCore analyst team compiled and released the Research Report on 30 Domestic Digital Chip Manufacturers, covering 30 representative domestic CPU, GPU, FPGA, and memory chip manufacturers. Over the past year, more companies with technical strength and growth potential have emerged in the domestic digital chip industry. We decided to categorize memory as … Read more