当前位置: X-MOL 学术IEEE Internet Things J. › 论文详情
ahSpMV: An Autotuning Hybrid Computing Scheme for SpMV on the Sunway Architecture
IEEE Internet of Things Journal ( IF 9.515 ) Pub Date : 2019-10-15 , DOI: 10.1109/jiot.2019.2947257
Guoqing Xiao; Yuedan Chen; Chubo Liu; Xu Zhou

The prevalence of the Internet of Things (IoT) and the explosion of available information on the Web have led to an enormous amount of widely available IoT data sets with sparsity. Sparse matrix–vector multiplication (SpMV) is one of the most essential algorithms in various kinds of IoT applications. This article designs an autotuning hybrid computing scheme for SpMV, named ahSpMV, on the powerful and unique architecture of Sunway TaihuLight supercomputer, to combine the advantages of the heterogeneous parallel Sunway architecture and the Hybrid (HYB) sparse matrix format and optimize the SpMV’s performance. First, we propose a heterogeneous parallelization design for ahSpMV based on the heterogeneous manycore architecture of the SW26010 of Sunway TaihuLight and the hybrid feature of the HYB format. Second, we propose several optimization techniques for computation and communication of ahSpMV, to fully utilize the computing power of Sunway. Third, we analyze the execution time of ahSpMV on Sunway. Fourth, based on the performance analysis, we propose an autotuning scheme for ahSpMV to set the proper parameter for the HYB format. We evaluate ahSpMV’s performance on the Sunway architecture. The result analysis indicates that ahSpMV has obvious performance improvement over parallel SpMV based on other related sparse matrix formats. The optimization techniques and the autotuning scheme for ahSpMV also yield expected optimization effects. Moreover, the experimental results illustrate that ahSpMV has good scalability on the Sunway architecture.
更新日期:2020-03-16

 

全部期刊列表>>
宅家赢大奖
向世界展示您的会议墙报和演示文稿
全球疫情及响应:BMC Medicine专题征稿
新版X-MOL期刊搜索和高级搜索功能介绍
化学材料学全球高引用
ACS材料视界
x-mol收录
自然科研论文编辑服务
南方科技大学
南方科技大学
舒伟
中国科学院长春应化所于聪-4-8
复旦大学
课题组网站
X-MOL
香港大学化学系刘俊治
中山大学化学工程与技术学院
试剂库存
天合科研
down
wechat
bug