{"title":"使用架构模拟器了解晶圆级GPU性能","authors":"C. Thames, Hang Yan, Yifan Sun","doi":"10.1145/3530390.3532736","DOIUrl":null,"url":null,"abstract":"Wafer-Scale chips have the potential to break the die-size limitation and provide extreme performance scalability. Existing solutions have demonstrated the possibility of integrating multi-CPU and multi-GPU systems at a significantly larger scale on a wafer. This increased capability results in an increase in complexity in managing the memory and computing resources. To support the community studying wafer-scale systems, this paper develops an architectural simulator dedicated to modeling wafer-scale multi-device systems. Also, this work demonstrates an analysis of initial results from simulations on wafer-scale GPU systems, providing useful insight that can guide future system design.","PeriodicalId":442986,"journal":{"name":"Proceedings of the 14th Workshop on General Purpose Processing Using GPU","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Understanding wafer-scale GPU performance using an architectural simulator\",\"authors\":\"C. Thames, Hang Yan, Yifan Sun\",\"doi\":\"10.1145/3530390.3532736\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Wafer-Scale chips have the potential to break the die-size limitation and provide extreme performance scalability. Existing solutions have demonstrated the possibility of integrating multi-CPU and multi-GPU systems at a significantly larger scale on a wafer. This increased capability results in an increase in complexity in managing the memory and computing resources. To support the community studying wafer-scale systems, this paper develops an architectural simulator dedicated to modeling wafer-scale multi-device systems. Also, this work demonstrates an analysis of initial results from simulations on wafer-scale GPU systems, providing useful insight that can guide future system design.\",\"PeriodicalId\":442986,\"journal\":{\"name\":\"Proceedings of the 14th Workshop on General Purpose Processing Using GPU\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 14th Workshop on General Purpose Processing Using GPU\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3530390.3532736\",\"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 14th Workshop on General Purpose Processing Using GPU","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3530390.3532736","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Understanding wafer-scale GPU performance using an architectural simulator
Wafer-Scale chips have the potential to break the die-size limitation and provide extreme performance scalability. Existing solutions have demonstrated the possibility of integrating multi-CPU and multi-GPU systems at a significantly larger scale on a wafer. This increased capability results in an increase in complexity in managing the memory and computing resources. To support the community studying wafer-scale systems, this paper develops an architectural simulator dedicated to modeling wafer-scale multi-device systems. Also, this work demonstrates an analysis of initial results from simulations on wafer-scale GPU systems, providing useful insight that can guide future system design.