Programming Heterogeneous Systems with Array Types

被引：0

作者：

Cui, Xiang ^{[1
,3
,4
]}

Li, Xiaowen ^{[2
]}

Chen, Yifeng ^{[1
,3
]}

机构：

[1] Peking Univ, Sch EECS, HCST Key Lab, Beijing, Peoples R China

[2] Air Def Forces Acad, Zhengzhou, Peoples R China

[3] State Key Lab Math Engn & Adv Comp, Wuxi, Peoples R China

[4] Henan Univ, Coll Comp & Informat Engn, Kaifeng, Peoples R China

来源：

2015 15TH IEEE/ACM INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND GRID COMPUTING | 2015年

关键词：

heterogeneous programming; array type; programming interface;

D O I：

10.1109/CCGrid.2015.113

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper describes the use of array notation called Parray in refinement of parallel programs concerning array type that separates the physical data layout and logical structure of multi-dimensional data, and the control flow diversion of heterogeneous processor units. A case study on matrix multiplication demonstrates refinement of Parray programs: the code evolves from a simple single CPU-thread code to a multi-thread code on CPU/MIC and then a GPU code by modifying the array types in only a few lines of code. A GPU-based SGEMM is implemented in Parray and achieves almost the same Gflops of CUBLAS 4.0 when testing on a single node of Tian-1A system. Because the code operates directly on the logical structure of array, the same SGEMM code can work on different physical array data layouts.

引用

页码：1067 / 1074

页数：8