微机械应力-应变分析FFTX

Anuva Kulkarni, Daniele G. Spampinato, F. Franchetti
{"title":"微机械应力-应变分析FFTX","authors":"Anuva Kulkarni, Daniele G. Spampinato, F. Franchetti","doi":"10.1109/HPEC.2019.8916267","DOIUrl":null,"url":null,"abstract":"Porting scientific simulations to heterogeneous platforms requires complex algorithmic and optimization strategies to overcome memory and communication bottlenecks. Such operations are inexpressible using traditional libraries (e.g., FFTW for spectral methods) and difficult to optimize by hand for various hardware platforms. In this work, we use our GPU-adapted stress-strain analysis method to show how FFTX, a new API that extends FFTW, can be used to express our algorithm without worrying about code optimization, which is handled by a backend code generator.","PeriodicalId":184253,"journal":{"name":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"FFTX for Micromechanical Stress-Strain Analysis\",\"authors\":\"Anuva Kulkarni, Daniele G. Spampinato, F. Franchetti\",\"doi\":\"10.1109/HPEC.2019.8916267\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Porting scientific simulations to heterogeneous platforms requires complex algorithmic and optimization strategies to overcome memory and communication bottlenecks. Such operations are inexpressible using traditional libraries (e.g., FFTW for spectral methods) and difficult to optimize by hand for various hardware platforms. In this work, we use our GPU-adapted stress-strain analysis method to show how FFTX, a new API that extends FFTW, can be used to express our algorithm without worrying about code optimization, which is handled by a backend code generator.\",\"PeriodicalId\":184253,\"journal\":{\"name\":\"2019 IEEE High Performance Extreme Computing Conference (HPEC)\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE High Performance Extreme Computing Conference (HPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPEC.2019.8916267\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE High Performance Extreme Computing Conference (HPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPEC.2019.8916267","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

将科学模拟移植到异构平台需要复杂的算法和优化策略来克服内存和通信瓶颈。这些操作使用传统库(例如,光谱方法的FFTW)是无法表达的,并且难以针对各种硬件平台手动优化。在这项工作中,我们使用我们的gpu适应应力应变分析方法来展示如何使用FFTX(扩展FFTW的新API)来表达我们的算法,而无需担心代码优化,这是由后端代码生成器处理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
FFTX for Micromechanical Stress-Strain Analysis
Porting scientific simulations to heterogeneous platforms requires complex algorithmic and optimization strategies to overcome memory and communication bottlenecks. Such operations are inexpressible using traditional libraries (e.g., FFTW for spectral methods) and difficult to optimize by hand for various hardware platforms. In this work, we use our GPU-adapted stress-strain analysis method to show how FFTX, a new API that extends FFTW, can be used to express our algorithm without worrying about code optimization, which is handled by a backend code generator.
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