Proceedings of the ACM Workshop on Software Engineering Methods for Parallel and High Performance Applications最新文献

筛选
英文 中文
Session details: Keynote Address 会议详情:主题演讲
M. Gerndt
{"title":"Session details: Keynote Address","authors":"M. Gerndt","doi":"10.1145/3248632","DOIUrl":"https://doi.org/10.1145/3248632","url":null,"abstract":"","PeriodicalId":409042,"journal":{"name":"Proceedings of the ACM Workshop on Software Engineering Methods for Parallel and High Performance Applications","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115456935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Challenges in Transition 转型中的挑战
K. Ishizaki
{"title":"Challenges in Transition","authors":"K. Ishizaki","doi":"10.1145/2916026.2916032","DOIUrl":"https://doi.org/10.1145/2916026.2916032","url":null,"abstract":"Modern emerging workloads such as analytics, graph, and deep learning, rapidly appear. These are written by non-Ninja programmers. Modern hardware platforms are becoming complex due to deployments of hardware accelerators such as GPGPU and FPGA. It is not easy for them to fully exploit these capabilities. Our recent challenges are to achieve high performance of these workloads. In this talk, I will review how hardware platform, workload, and software for high performance computation were changing. I will then think about what are better approaches for users to describe their problems with high productivity and performance. I will talk about technical approaches and challenges in these descriptions to exploit hardware capabilities. We need to think what information we should get and what optimizations we can do for future hardware system.","PeriodicalId":409042,"journal":{"name":"Proceedings of the ACM Workshop on Software Engineering Methods for Parallel and High Performance Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130224570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Autotuning of MPI Applications Using PTF 使用PTF的MPI应用程序的自动调谐
A. Sikora, Eduardo César, Isaías A. Comprés Ureña, M. Gerndt
{"title":"Autotuning of MPI Applications Using PTF","authors":"A. Sikora, Eduardo César, Isaías A. Comprés Ureña, M. Gerndt","doi":"10.1145/2916026.2916028","DOIUrl":"https://doi.org/10.1145/2916026.2916028","url":null,"abstract":"The main problem when trying to optimize the parameters of libraries, such as MPI, is that there are many parameters that users can configure. Moreover, predicting the behavior of the library for each configuration is non-trivial. This makes it very difficult to select good values for these parameters. This paper proposes a model for autotuning MPI applications. The model is developed to analyze different parameter configurations and is expected to aid users to find the best performance for executing their applications. As part of the AutoTune project, our work is ultimately aiming at extending Periscope to apply automatic tuning to parallel applications. In particular, our objective is to provide a straightforward way of tuning MPI parallel codes. The output of the framework are tuning recommendations that can be integrated into the production version of the code. Experimental tests demonstrate that this methodology could lead to significant performance improvements.","PeriodicalId":409042,"journal":{"name":"Proceedings of the ACM Workshop on Software Engineering Methods for Parallel and High Performance Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130381399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 19
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×
相关产品
×
本文献相关产品
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