Plenary Address 3: Heterogeneous Parallel Computing

E. Swartzlander
{"title":"Plenary Address 3: Heterogeneous Parallel Computing","authors":"E. Swartzlander","doi":"10.1109/ICPADS.1994.589877","DOIUrl":null,"url":null,"abstract":"Heterogeneous parallel computing (i.e., parallel computers where the processors are customized or tailored to efficiently execute specific.classes of algorithms) is the only practical way to solve many computationally intensive problems. In contrast to array computers constructed with identical general purpose processors, heterogeneous parallel computing achieves very high levels of throughput, small size, and low power. The improvement in the speed-size product is often in excess of two orders of magnitude. This talk reviews past endeavors in application specific processing (which can be viewed as the root of heterogeneous computing), current research in heterogeneous parallel computing, and offers the prediction that in the near future “system compilation” (analogous to “silicon compilation”) will greatly facilitate the development of heterogeneous parallel computers.","PeriodicalId":154429,"journal":{"name":"Proceedings of 1994 International Conference on Parallel and Distributed Systems","volume":"104 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1994 International Conference on Parallel and Distributed Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPADS.1994.589877","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Heterogeneous parallel computing (i.e., parallel computers where the processors are customized or tailored to efficiently execute specific.classes of algorithms) is the only practical way to solve many computationally intensive problems. In contrast to array computers constructed with identical general purpose processors, heterogeneous parallel computing achieves very high levels of throughput, small size, and low power. The improvement in the speed-size product is often in excess of two orders of magnitude. This talk reviews past endeavors in application specific processing (which can be viewed as the root of heterogeneous computing), current research in heterogeneous parallel computing, and offers the prediction that in the near future “system compilation” (analogous to “silicon compilation”) will greatly facilitate the development of heterogeneous parallel computers.
全体会议发言3:异构并行计算
异构并行计算(即,并行计算机,其中的处理器是定制的或定制的,以有效地执行特定的。算法类)是解决许多计算密集型问题的唯一实用方法。与使用相同的通用处理器构建的阵列计算机相比,异构并行计算实现了非常高的吞吐量、小尺寸和低功耗。速度尺寸产品的改进通常超过两个数量级。本演讲回顾了过去在应用特定处理(可视为异构计算的根源)方面的努力,以及当前在异构并行计算方面的研究,并预测在不久的将来“系统编译”(类似于“硅编译”)将极大地促进异构并行计算机的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信