CPU/GPU协同并行计算研究综述  

Survey of CPU/GPU Synergetic Parallel Computing

作　　者：卢风顺[1] 宋君强[1] 银福康[1] 张理论[1] 

机构地区：[1]国防科学技术大学计算机学院,长沙410073

出　　处：《计算机科学》2011年第3期5-9,46,共6页Computer Science

基　　金：国家自然科学基金(40505023)资助

摘　　要：CPU/GPU异构混合并行系统以其强劲计算能力、高性价比和低能耗等特点成为新型高性能计算平台,但其复杂体系结构为并行计算研究提出了巨大挑战。CPU/GPU协同并行计算属于新兴研究领域,是一个开放的课题。根据所用计算资源的规模将CPU/GPU协同并行计算研究划分为三类,尔后从立项依据、研究内容和研究方法等方面重点介绍了几个混合计算项目,并指出了可进一步研究的方向,以期为领域科学家进行协同并行计算研究提供一定参考。With the features of tremendous capability,high performance/price ratio and low power,the heterogeneous hybrid CPU/GPU parallel systems have become the new high performance computing platforms.However,the architecture complexity of the hybrid system poses many challenges on the parallel algorithms design on the infrastructure.According to the scale of computational resources involved in the synergetic parallel computing,we classified the recent researches into three categories,detailed the motivations,methodologies and applications of several projects,and discussed some on-going research issues in this direction in the end.We hope the domain experts can gain useful information about synergetic parallel computing from this work.

关 键 词：异构混合 协同并行计算 GPU计算 性能优化 可扩展 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]