{"title":"Performance Evaluation of Multithreaded Computations for CPU Bounded Task","authors":"Jin Kim, S. Yu, Jinsoo Park","doi":"10.1109/PLATCON.2016.7456816","DOIUrl":null,"url":null,"abstract":"The development of multicore processors causes the enhancement of computing performances. In general, these processors give rise to the whole performance improvement via simultaneous processing of separated modules such as logical module and graphical module. In the single algorithm such as the calculation of a mathematical formula, a multithreaded program can also get the same effect as a distributed processing system. The computing speed can be improved even though there is still the storage limitation. Using the multithreaded programming, this research evaluates the computing performance in the single algorithm. In the multicore processor environment, implications for the computation performance of synchronization algorithm in the multithreaded computation will also be mentioned.","PeriodicalId":247342,"journal":{"name":"2016 International Conference on Platform Technology and Service (PlatCon)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Platform Technology and Service (PlatCon)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLATCON.2016.7456816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The development of multicore processors causes the enhancement of computing performances. In general, these processors give rise to the whole performance improvement via simultaneous processing of separated modules such as logical module and graphical module. In the single algorithm such as the calculation of a mathematical formula, a multithreaded program can also get the same effect as a distributed processing system. The computing speed can be improved even though there is still the storage limitation. Using the multithreaded programming, this research evaluates the computing performance in the single algorithm. In the multicore processor environment, implications for the computation performance of synchronization algorithm in the multithreaded computation will also be mentioned.