• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science ›› 2023, Vol. 45 ›› Issue (05): 761-771.

• High Performance Computing • Previous Articles     Next Articles

A survey of core computing architecture of high performance processors for exascale computing

WU Tie-bin,GUO Feng,WANG Di   

  1. (Jiangnan Institute of Computing Technology,Wuxi 214026,China)
  • Received:2022-06-01 Revised:2022-08-14 Accepted:2023-05-25 Online:2023-05-25 Published:2023-05-16

Abstract: High performance computing (HPC) has entered the post exascale era. As the core components of supercomputers, high performance processors provide super computing power for HPCS through the core computing architecture. The research progress of core computing architecture represents the development direction of high performance processor architecture. Aiming at advanced high performance processors for exascale computing, this paper analyzes and discusses the research progress of core computing architecture from the aspects of computing resource organization structure, data and instruction level parallelism, domain-specific acceleration structure, data type and computing power, and predicts the development trend of the core computing architecture for high performance processors. The main research and development directions of the core computing architecture of future high  performance processors are ultra-wide vector SIMD and SIMT, domain-specific architecture for matrix computation accelerate, and support of various low precision computation for HPC and AI fusion.

Key words: high performance computing, exascale computing, computing architecture