Common DIY Hardware Terminology

CPU Section 1. CPU Architecture The CPU architecture currently lacks a definitive and authoritative definition. Simply put, it refers to the design scheme of the CPU core. CPUs can generally be classified into various architectures such as X86, IA64, RISC, etc. The CPUs found in personal computers are essentially designed based on the X86 architecture, … Read more

Understanding Automotive Intelligence: CPU, GPU, NPU, DPU, MCU, ECU…

Understanding Automotive Intelligence: CPU, GPU, NPU, DPU, MCU, ECU...

As cars enter the era of electrification and intelligence, the terminology arising from product transformation confuses consumers. For instance, terms related to chips such as CPU, GPU, NPU, SoC, etc. These parameters are particularly important, even rivaling some core component configurations from the era of fuel vehicles. This time, we will conduct a popular science … Read more

The Strongest Mid-Range SoC? In-Depth Look at Kirin 810 Mobile Platform

The Strongest Mid-Range SoC? In-Depth Look at Kirin 810 Mobile Platform

Click the above Computer Enthusiasts to follow us In the past, mid-range Huawei/Honor phones competed with the Kirin 710 and Qualcomm Snapdragon 6 series. However, when Qualcomm launched the Snapdragon 7 series mobile platform, the performance of the Kirin 710 became somewhat inadequate, after all, its performance is only on par with the Snapdragon 660. … Read more

How Powerful Is MediaTek’s Dimensity 1380 with 3.0GHz and 4 A78 Cores?

How Powerful Is MediaTek's Dimensity 1380 with 3.0GHz and 4 A78 Cores?

Click the above PC Enthusiasts to follow us At the end of last year, Qualcomm tailored the Snapdragon 8cx Gen3 computing platform for “Windows on ARM”, which uses a 5nm process and consists of 4 cores of 3.0GHz Cortex-X1 super large cores and 4 cores of 2.4GHz Cortex-A78 large cores. Compared to the previous generation, … Read more

Who Supplies AI Chips for Software-Defined Vehicles?

Who Supplies AI Chips for Software-Defined Vehicles?

With the arrival of high-level intelligent driving, smarter cars need to process larger amounts of images, videos, and other unstructured data. Traditional MCU chips cannot meet the computational demands, while AI chips can achieve fast, accurate, and efficient calculations. We focus on data from Horizon, where L3 level autonomous driving generates a data volume of … Read more

Which Mobile Processor GPU Is the Strongest?

Which Mobile Processor GPU Is the Strongest?

Click on Computer Enthusiasts to follow us With the rise of competitive mobile games, smartphones are facing increasingly stringent requirements for 3D graphics rendering and computational capabilities. At the same time, 4K ultra-high-definition recording, video editing on mobile devices, AR, and VR entertainment applications all rely heavily on the involvement of GPUs (as well as … Read more

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

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