“Which chip has the strongest computing power? NPU specializes in autonomous driving!” When it comes to autonomous driving technology… how should I put it? Recently, it has been developing particularly fast, and the competition among various chip technologies is becoming increasingly fierce. As a journalist focusing on intelligent automotive configurations, I believe many people still … Read more
“Energy consumption”, “carbon emissions”, “range anxiety” – these issues in the semiconductor field are closely related to chip power consumption. Currently, we are in the midst of a digital wave, accompanied by the booming development of technologies such as the Internet of Things, mobile computing, autonomous vehicles, and data centers. Chip designers are facing a … Read more
To effectively reduce power consumption, design engineers need to approach from multiple levels, including architecture design, circuit optimization, process selection, and more. This article will focus on circuit-level low-power design, introducing several common optimization methods, such as Clock Gating, Toggle Rate Optimization, Area Optimization, and Memory Low Power Management, to help engineers more efficiently reduce … Read more
Abstract:The power supply and distribution system is a crucial component of the data center infrastructure, as various IT devices rely on its stable and safe operation for computing and storage. With the development of the digital industry, the power supply and distribution systems in data centers have also expanded, which raises higher requirements for their … Read more
RTGA (Redundancy-free Accelerator for High-Performance Temporal Graph Neural Network Inference) is an innovative hardware accelerator designed specifically for high-performance temporal graph neural network (TGNN) inference. As graph data dynamically evolves in many practical applications, traditional TGNN inference methods face issues of redundant computation and frequent external memory access, leading to performance degradation and increased energy … Read more
Computing, as the cornerstone of information processing, plays a crucial role in the digital service era. The “network” and “computing” are traditionally used for information transmission and processing, respectively, belonging to different stakeholders and evolving independently. Recently, the trend of collaboration and convergence between networks and computing has gained widespread attention from both industry and … Read more
Content IntroductionAbstract:With the rapid development of fifth-generation network technology and the Internet of Things, the number of end-user devices and various applications is surging, resulting in a massive amount of data generated at the network edge. To efficiently process this data, innovative mobile edge computing frameworks have emerged to achieve low latency and efficient computing … Read more
In the visual perception systems of autonomous driving, the massive image data captured by sensors must be transmitted to processors for processing. This process not only generates redundant data but also causes delays, which may affect decision-making in emergencies. Similarly, in the field of security monitoring, real-time image classification faces bottlenecks in data transmission and … Read more
I. Technical Breakthrough: Dual Strategy of Ecological Compatibility and Domestic Substitution 1. Core Technical Parameters and Performance Alibaba’s latest AI chip is an upgraded version of the Hanguang 800, positioned as a dedicated inference chip, utilizing domestic 5nm process technology (manufactured by SMIC), with key breakthroughs in the following areas: Computing Power and Energy Efficiency: … Read more
For more exciting content, please click aboveGlobal Intelligent ManufacturingFollow us! “MIT has developed a bee-like robot that can flap its wings up to 400 times per second, which may be used for pollination on Mars and in indoor agricultural operations, and can carry twice its own weight, ushering in a new era of micro-robots.” According … Read more