Survey of CPU/GPU Synergetic Parallel Computing
Survey of CPU/GPU Synergetic Parallel Computing
复制标题
DOI：
--
复制
发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Zhang Lilun
中科院分区：
文献类型：
--
作者：
Zhang Lilun
异构型CPU/GPU混合并行系统具有容量大、性价比高、功耗低等特点，已成为新一代高性能计算平台。但混合系统的体系结构复杂性对基础架构上的并行算法设计提出了许多挑战。根据协同并行计算所涉及的计算资源的规模，我们将目前的研究分为三类，详细介绍了几个项目的动机、方法和应用，并在最后讨论了这一方向的一些正在进行的研究问题。希望领域专家能从这项工作中获得关于协同并行计算的有用信息。
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.