跳到主要导航 跳到搜索 跳到主要内容

Optimizing data scheduling on processor-in-memory arrays

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In the study of PetaFlop project, Processor-in-Memory array was proposed to be a target architecture in achieving 1015 floating point operations per second computing performance. However one of the major obstacles to achieve the fast computing was interprocessor communications, which lengthen the total execution time of an application. A good data scheduling, consisting of finding initial data placement and data movement during the run-time, can give a significant reduction in the total communication cost and the execution time of the application. In this paper, we propose efficient algorithms for the data scheduling problem. Experimental results show the effectiveness of the proposed approaches. Compared with default data distribution methods such as row-wise or column-wise distributions, the average improvement for the tested benchmarks can be up to 30%.

源语言英语
主期刊名Proceedings of the 1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
出版商Institute of Electrical and Electronics Engineers Inc.
57-61
页数5
ISBN(电子版)0818684038, 9780818684036
DOI
出版状态已出版 - 1998
已对外发布
活动1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998 - Orlando, 美国
期限: 30 3月 19983 4月 1998

出版系列

姓名Proceedings of the 1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
1998-March

会议

会议1st Merged International Parallel Processing Symposium and Symposium on Parallel and Distributed Processing, IPPS/SPDP 1998
国家/地区美国
Orlando
时期30/03/983/04/98

指纹

探究 'Optimizing data scheduling on processor-in-memory arrays' 的科研主题。它们共同构成独一无二的指纹。

引用此