Hongwei Liu, Bo Sang, Jing Huang, Ji Qiu, Xiang Gao
{"title":"共享isa异构芯片多处理器执行迁移的软硬件协同设计","authors":"Hongwei Liu, Bo Sang, Jing Huang, Ji Qiu, Xiang Gao","doi":"10.1109/NAS.2013.10","DOIUrl":null,"url":null,"abstract":"Heterogeneous multi-core processors have strong potential for performance improvement, energy efficiency and area efficiency, compared to the homogeneous multi-core processors. The present methods of execution migration for heterogeneous multi-core processor suffer in efficiency, cost, compatibility, or programmability. In this paper, we propose a HW/SW code sign migration method based on binary-instrumentation. Our method takes full advantage of the shared-ISA. It enhances the performance of heterogeneous chip multiprocessor with low HW/SW cost. And it's not required to modify source codes or compile system. The experiment results show that the efficiency of our method is 3.29 times of kernel simulation.","PeriodicalId":213334,"journal":{"name":"2013 IEEE Eighth International Conference on Networking, Architecture and Storage","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A HW/SW Co-design of Execution Migration for Shared-ISA Heterogeneous Chip Multiprocessors\",\"authors\":\"Hongwei Liu, Bo Sang, Jing Huang, Ji Qiu, Xiang Gao\",\"doi\":\"10.1109/NAS.2013.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Heterogeneous multi-core processors have strong potential for performance improvement, energy efficiency and area efficiency, compared to the homogeneous multi-core processors. The present methods of execution migration for heterogeneous multi-core processor suffer in efficiency, cost, compatibility, or programmability. In this paper, we propose a HW/SW code sign migration method based on binary-instrumentation. Our method takes full advantage of the shared-ISA. It enhances the performance of heterogeneous chip multiprocessor with low HW/SW cost. And it's not required to modify source codes or compile system. The experiment results show that the efficiency of our method is 3.29 times of kernel simulation.\",\"PeriodicalId\":213334,\"journal\":{\"name\":\"2013 IEEE Eighth International Conference on Networking, Architecture and Storage\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE Eighth International Conference on Networking, Architecture and Storage\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NAS.2013.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE Eighth International Conference on Networking, Architecture and Storage","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAS.2013.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A HW/SW Co-design of Execution Migration for Shared-ISA Heterogeneous Chip Multiprocessors
Heterogeneous multi-core processors have strong potential for performance improvement, energy efficiency and area efficiency, compared to the homogeneous multi-core processors. The present methods of execution migration for heterogeneous multi-core processor suffer in efficiency, cost, compatibility, or programmability. In this paper, we propose a HW/SW code sign migration method based on binary-instrumentation. Our method takes full advantage of the shared-ISA. It enhances the performance of heterogeneous chip multiprocessor with low HW/SW cost. And it's not required to modify source codes or compile system. The experiment results show that the efficiency of our method is 3.29 times of kernel simulation.