Junjie Qian, Du Li, W. Srisa-an, Hong Jiang, S. Seth
{"title":"Factors affecting scalability of multithreaded Java applications on manycore systems","authors":"Junjie Qian, Du Li, W. Srisa-an, Hong Jiang, S. Seth","doi":"10.1109/ISPASS.2015.7095800","DOIUrl":null,"url":null,"abstract":"Modern Java applications employ multithreading to improve performance by harnessing execution parallelism available in today's multicore processors. However, as the numbers of threads and processing cores are scaled up, many applications do not achieve the desired level of performance improvement. In this paper, we explore two factors, lock contention and garbage collection performance that can affect scalability of Java applications. Our initial result reveals two new observations. First, applications that are highly scalable may experience more instances of lock contention than those experienced by applications that are less scalable. Second, efficient multithreading can make garbage collection less effective, and therefore, negatively impacting garbage collection performance.","PeriodicalId":189378,"journal":{"name":"2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISPASS.2015.7095800","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
Modern Java applications employ multithreading to improve performance by harnessing execution parallelism available in today's multicore processors. However, as the numbers of threads and processing cores are scaled up, many applications do not achieve the desired level of performance improvement. In this paper, we explore two factors, lock contention and garbage collection performance that can affect scalability of Java applications. Our initial result reveals two new observations. First, applications that are highly scalable may experience more instances of lock contention than those experienced by applications that are less scalable. Second, efficient multithreading can make garbage collection less effective, and therefore, negatively impacting garbage collection performance.