{"title":"通过动态核心绑定优化系统利用效率","authors":"Masatoshi Kawai, Akihiro Ida, Toshihiro Hanawa, Tetsuya Hoshino","doi":"10.1145/3636480.3637221","DOIUrl":null,"url":null,"abstract":"Load balancing at both the process and thread levels is imperative for minimizing application computation time in the context of MPI/OpenMP hybrid parallelization. This necessity arises from the constraint that, within a typical hybrid parallel environment, an identical number of cores is bound to each process. Dynamic Core Binding, however, adjusts the core binding based on the process’s workload, thereby realizing load balancing at the core level. In prior research, we have implemented the DCB library, which has two policies for computation time reduction or power reduction. In this paper, we show that the two policies provided by the DCB library can be used together to achieve both computation time reduction and power consumption reduction.","PeriodicalId":120904,"journal":{"name":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops","volume":"8 13","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Optimize Efficiency of Utilizing Systems by Dynamic Core Binding\",\"authors\":\"Masatoshi Kawai, Akihiro Ida, Toshihiro Hanawa, Tetsuya Hoshino\",\"doi\":\"10.1145/3636480.3637221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Load balancing at both the process and thread levels is imperative for minimizing application computation time in the context of MPI/OpenMP hybrid parallelization. This necessity arises from the constraint that, within a typical hybrid parallel environment, an identical number of cores is bound to each process. Dynamic Core Binding, however, adjusts the core binding based on the process’s workload, thereby realizing load balancing at the core level. In prior research, we have implemented the DCB library, which has two policies for computation time reduction or power reduction. In this paper, we show that the two policies provided by the DCB library can be used together to achieve both computation time reduction and power consumption reduction.\",\"PeriodicalId\":120904,\"journal\":{\"name\":\"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops\",\"volume\":\"8 13\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3636480.3637221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3636480.3637221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimize Efficiency of Utilizing Systems by Dynamic Core Binding
Load balancing at both the process and thread levels is imperative for minimizing application computation time in the context of MPI/OpenMP hybrid parallelization. This necessity arises from the constraint that, within a typical hybrid parallel environment, an identical number of cores is bound to each process. Dynamic Core Binding, however, adjusts the core binding based on the process’s workload, thereby realizing load balancing at the core level. In prior research, we have implemented the DCB library, which has two policies for computation time reduction or power reduction. In this paper, we show that the two policies provided by the DCB library can be used together to achieve both computation time reduction and power consumption reduction.