Customizing the HPL for China accelerator | |
Gan, Xinbiao; Hu, Yikun; Liu, Jie; Chi, Lihua; Xu, Han; Gong, Chunye; Li, Shengguo; Yan, Yihui | |
Department | 空间科学部 |
Source Publication | SCIENCE CHINA-INFORMATION SCIENCES
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2018 | |
Volume | 61Issue:4Pages:42102 |
ISSN | 1674-733X |
Language | 英语 |
Keyword | Hpl China Accelerator Dpem Oamm Optvec |
Abstract | HPL is a Linpack benchmark package widely used in high-performance computing tests. Customizing the HPL is crucial for a heterogeneous system equipped with CPU and the China accelerator because of the complexity of the China accelerator and the specified interface on matrix multiplication built in the China accelerator. Therefore, it is advisable to use delicate partition and encapsulation on matrix (DPEM) to expose a friendly testing configuration. More importantly, we propose the orchestrating algorithm for matrix multiplication (OAMM) to enhance the efficiency of the heterogeneous system composed of CPU and China accelerator. Furthermore, optimization at vectorization (OPTVEC) is applied to shield the architectural details of the vector processing element (VPE) equipped in the China accelerator. The experimental results validate DPEM, OPTVEC and OAMM. OPTVEC optimizations would speed up matrix multiplication more than twofold, moreover OAMM would improve productivity by up to 10% compared to the traditional HPL tested in a heterogeneous system. |
Indexed By | SCI ; CSCD |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.nssc.ac.cn/handle/122/6254 |
Collection | 空间科学部 |
Corresponding Author | Gan, Xinbiao |
Recommended Citation GB/T 7714 | Gan, Xinbiao,Hu, Yikun,Liu, Jie,et al. Customizing the HPL for China accelerator[J]. SCIENCE CHINA-INFORMATION SCIENCES,2018,61(4):42102. |
APA | Gan, Xinbiao.,Hu, Yikun.,Liu, Jie.,Chi, Lihua.,Xu, Han.,...&Yan, Yihui.(2018).Customizing the HPL for China accelerator.SCIENCE CHINA-INFORMATION SCIENCES,61(4),42102. |
MLA | Gan, Xinbiao,et al."Customizing the HPL for China accelerator".SCIENCE CHINA-INFORMATION SCIENCES 61.4(2018):42102. |
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