{"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}
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.