支持将遗留应用程序移植到多核的工具

Yuri Ardila, Natsuki Kawai, Takashi Nakamura, Yosuke Tamura
{"title":"支持将遗留应用程序移植到多核的工具","authors":"Yuri Ardila, Natsuki Kawai, Takashi Nakamura, Yosuke Tamura","doi":"10.1109/ASPDAC.2013.6509658","DOIUrl":null,"url":null,"abstract":"This paper presents PEMAP, an automated performance estimation tool to project performance of hand-parallelized programs from sequential programs and BEMAP, a benchmark suite to measure an auto-parallelizer or even a machine's performance. BEMAP is an open-source project, and the documentations on code explanations and experimental results are also provided. Our experiments on PEMAP shows we can estimate performance of hand-parallelized programs in an error of 0.44% of sequential program's performance on average, while using BEMAP shows that the ability of an auto-parallelizer can be measured by comparing the compiled code to the handtuned parallelized OpenCL code, and therefore assisting the development of the auto-parallelizer tool.","PeriodicalId":297528,"journal":{"name":"2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Support tools for porting legacy applications to multicore\",\"authors\":\"Yuri Ardila, Natsuki Kawai, Takashi Nakamura, Yosuke Tamura\",\"doi\":\"10.1109/ASPDAC.2013.6509658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents PEMAP, an automated performance estimation tool to project performance of hand-parallelized programs from sequential programs and BEMAP, a benchmark suite to measure an auto-parallelizer or even a machine's performance. BEMAP is an open-source project, and the documentations on code explanations and experimental results are also provided. Our experiments on PEMAP shows we can estimate performance of hand-parallelized programs in an error of 0.44% of sequential program's performance on average, while using BEMAP shows that the ability of an auto-parallelizer can be measured by comparing the compiled code to the handtuned parallelized OpenCL code, and therefore assisting the development of the auto-parallelizer tool.\",\"PeriodicalId\":297528,\"journal\":{\"name\":\"2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASPDAC.2013.6509658\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 18th Asia and South Pacific Design Automation Conference (ASP-DAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASPDAC.2013.6509658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本文介绍了PEMAP,一个自动性能评估工具,用于从顺序程序中预测手动并行程序的性能,BEMAP是一个基准套件,用于测量自动并行化甚至机器的性能。BEMAP是一个开源项目,并提供了有关代码解释和实验结果的文档。我们在PEMAP上的实验表明,我们可以估计手动并行化程序的性能,平均误差为顺序程序性能的0.44%,而使用BEMAP表明,自动并行化的能力可以通过将编译代码与手动调优的并行化OpenCL代码进行比较来衡量,从而帮助开发自动并行化工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Support tools for porting legacy applications to multicore
This paper presents PEMAP, an automated performance estimation tool to project performance of hand-parallelized programs from sequential programs and BEMAP, a benchmark suite to measure an auto-parallelizer or even a machine's performance. BEMAP is an open-source project, and the documentations on code explanations and experimental results are also provided. Our experiments on PEMAP shows we can estimate performance of hand-parallelized programs in an error of 0.44% of sequential program's performance on average, while using BEMAP shows that the ability of an auto-parallelizer can be measured by comparing the compiled code to the handtuned parallelized OpenCL code, and therefore assisting the development of the auto-parallelizer tool.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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