{"title":"A new perspective for efficient virtual-cache coherence","authors":"S. Kaxiras, Alberto Ros","doi":"10.1145/2485922.2485968","DOIUrl":null,"url":null,"abstract":"Coherent shared virtual memory (cSVM) is highly coveted for heterogeneous architectures as it will simplify programming across different cores and manycore accelerators. In this context, virtual L1 caches can be used to great advantage, e.g., saving energy consumption by eliminating address translation for hits. Unfortunately, multicore virtual-cache coherence is complex and costly because it requires reverse translation for any coherence request directed towards a virtual L1. The reason is the ambiguity of the virtual address due to the possibility of synonyms. In this paper, we take a radically different approach than all prior work which is focused on reverse translation. We examine the problem from the perspective of the coherence protocol. We show that if a coherence protocol adheres to certain conditions, it operates effortlessly with virtual caches, without requiring reverse translations even in the presence of synonyms. We show that these conditions hold in a new class of simple and efficient request-response protocols that use both self-invalidation and self-downgrade. This results in a new solution for virtual-cache coherence, significantly less complex and more efficient than prior proposals. We study design choices for TLB placement under our proposal and compare them against those under a directory-MESI protocol. Our approach allows for choices that are particularly effective as for example combining all per-core TLBs in a single logical TLB in front of the last level cache. Significant area, energy, and performance benefits ensue as a result of simplifying the entire multicore memory organization.","PeriodicalId":20555,"journal":{"name":"Proceedings of the 40th Annual International Symposium on Computer Architecture","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2013-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"60","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 40th Annual International Symposium on Computer Architecture","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2485922.2485968","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 60
Abstract
Coherent shared virtual memory (cSVM) is highly coveted for heterogeneous architectures as it will simplify programming across different cores and manycore accelerators. In this context, virtual L1 caches can be used to great advantage, e.g., saving energy consumption by eliminating address translation for hits. Unfortunately, multicore virtual-cache coherence is complex and costly because it requires reverse translation for any coherence request directed towards a virtual L1. The reason is the ambiguity of the virtual address due to the possibility of synonyms. In this paper, we take a radically different approach than all prior work which is focused on reverse translation. We examine the problem from the perspective of the coherence protocol. We show that if a coherence protocol adheres to certain conditions, it operates effortlessly with virtual caches, without requiring reverse translations even in the presence of synonyms. We show that these conditions hold in a new class of simple and efficient request-response protocols that use both self-invalidation and self-downgrade. This results in a new solution for virtual-cache coherence, significantly less complex and more efficient than prior proposals. We study design choices for TLB placement under our proposal and compare them against those under a directory-MESI protocol. Our approach allows for choices that are particularly effective as for example combining all per-core TLBs in a single logical TLB in front of the last level cache. Significant area, energy, and performance benefits ensue as a result of simplifying the entire multicore memory organization.