{"title":"CPU-GPU异构架构中的拒绝服务","authors":"Hao Wen, W. Zhang","doi":"10.1109/HPEC43674.2020.9286228","DOIUrl":null,"url":null,"abstract":"Unlike the traditional CPU-GPU heterogeneous architecture where CPU and GPU have separate DRAM and memory address space, current heterogeneous CPU-GPU architectures integrate CPU and GPU in the same die and share the same last level cache (LLC), on-chip network and memory. In this paper, we demonstrate that both CPU and GPU applications can maliciously or unintentionally monopolize the shared resource such as LLC and on-chip interconnection, resulting in significant performance loss to each other.","PeriodicalId":168544,"journal":{"name":"2020 IEEE High Performance Extreme Computing Conference (HPEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Denial of Service in CPU-GPU Heterogeneous Architectures\",\"authors\":\"Hao Wen, W. Zhang\",\"doi\":\"10.1109/HPEC43674.2020.9286228\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Unlike the traditional CPU-GPU heterogeneous architecture where CPU and GPU have separate DRAM and memory address space, current heterogeneous CPU-GPU architectures integrate CPU and GPU in the same die and share the same last level cache (LLC), on-chip network and memory. In this paper, we demonstrate that both CPU and GPU applications can maliciously or unintentionally monopolize the shared resource such as LLC and on-chip interconnection, resulting in significant performance loss to each other.\",\"PeriodicalId\":168544,\"journal\":{\"name\":\"2020 IEEE High Performance Extreme Computing Conference (HPEC)\",\"volume\":\"4 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE High Performance Extreme Computing Conference (HPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPEC43674.2020.9286228\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE High Performance Extreme Computing Conference (HPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPEC43674.2020.9286228","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Denial of Service in CPU-GPU Heterogeneous Architectures
Unlike the traditional CPU-GPU heterogeneous architecture where CPU and GPU have separate DRAM and memory address space, current heterogeneous CPU-GPU architectures integrate CPU and GPU in the same die and share the same last level cache (LLC), on-chip network and memory. In this paper, we demonstrate that both CPU and GPU applications can maliciously or unintentionally monopolize the shared resource such as LLC and on-chip interconnection, resulting in significant performance loss to each other.