多核性能预测中的挑战

Markus Frank, Floriment Klinaku, Steffen Becker
{"title":"多核性能预测中的挑战","authors":"Markus Frank, Floriment Klinaku, Steffen Becker","doi":"10.1145/3185768.3185773","DOIUrl":null,"url":null,"abstract":"Software performance predictions are an established part of an engineering like software development process and therefore relevant to enable high quality and to ensure requirement fulfillment. Software Performance Engineers use for that model-based performance predictions approaches. However, current predictions approaches are based on the assumption of single core CPU systems. To enable Software Performance Engineers to further give accurate predictions also for multicore systems, which are by now state of the art, we need to adapt our current prediction models. On the poster, we discuss the upcoming challenges to be tackled to increase the accuracy of the performance predictions models.","PeriodicalId":10596,"journal":{"name":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","volume":"43 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2018-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Challenges in Multicore Performance Predictions\",\"authors\":\"Markus Frank, Floriment Klinaku, Steffen Becker\",\"doi\":\"10.1145/3185768.3185773\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Software performance predictions are an established part of an engineering like software development process and therefore relevant to enable high quality and to ensure requirement fulfillment. Software Performance Engineers use for that model-based performance predictions approaches. However, current predictions approaches are based on the assumption of single core CPU systems. To enable Software Performance Engineers to further give accurate predictions also for multicore systems, which are by now state of the art, we need to adapt our current prediction models. On the poster, we discuss the upcoming challenges to be tackled to increase the accuracy of the performance predictions models.\",\"PeriodicalId\":10596,\"journal\":{\"name\":\"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering\",\"volume\":\"43 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3185768.3185773\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion of the 2018 ACM/SPEC International Conference on Performance Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3185768.3185773","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

软件性能预测是工程(如软件开发过程)中已确定的一部分,因此与实现高质量和确保需求实现相关。软件性能工程师使用基于模型的性能预测方法。然而,目前的预测方法是基于单核CPU系统的假设。为了使软件性能工程师能够进一步对多核系统做出准确的预测,我们需要调整当前的预测模型。在海报上,我们讨论了即将面临的挑战,以提高性能预测模型的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Challenges in Multicore Performance Predictions
Software performance predictions are an established part of an engineering like software development process and therefore relevant to enable high quality and to ensure requirement fulfillment. Software Performance Engineers use for that model-based performance predictions approaches. However, current predictions approaches are based on the assumption of single core CPU systems. To enable Software Performance Engineers to further give accurate predictions also for multicore systems, which are by now state of the art, we need to adapt our current prediction models. On the poster, we discuss the upcoming challenges to be tackled to increase the accuracy of the performance predictions models.
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