{"title":"SAP: Shared-Aware Prefetching for Reducing Inter-Chiplet Data Access Latency","authors":"Junpei Huang;Haobo Xu;Yiming Gan;Ying Li;Wenhao Sun;Mengdi Wang;Xiaotong Wei;Feng Min;Ying Wang;Yinhe Han","doi":"10.1109/LCA.2026.3658371","DOIUrl":null,"url":null,"abstract":"In multi-chiplet systems, inter-chiplet shared-data transfers pose a significant bottleneck, prolonging the critical paths of memory accesses. In inter-chiplet coherence traffic, since each chiplet often needs to wait reactively for data from remote chiplets, proactive data-fetching mechanisms such as prefetching are essential to anticipate inter-chiplet data accesses and mitigate latency. Nevertheless, traditional prefetchers are inadequate for explicitly handling inter-chiplet shared-data transfers, overlooking potential prefetching opportunities. To overcome this limitation, we propose SAP, a shared-aware prefetching mechanism that minimizes inter-chiplet data access latency. By transforming the IO chiplet into an active prefetching agent, SAP proactively fetches inter-chiplet shared data before demand requests arrive, utilizing a sharing table to track recent shared-data events and a prefetch agent to initiate inter-chiplet data transfers early. Our experiments on a chiplet-based system demonstrate that SAP improves system throughput by 13.44% and reduces execution time by 12.33% compared to the prior design.","PeriodicalId":51248,"journal":{"name":"IEEE Computer Architecture Letters","volume":"25 1","pages":"53-56"},"PeriodicalIF":2.0000,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Computer Architecture Letters","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11365544/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
In multi-chiplet systems, inter-chiplet shared-data transfers pose a significant bottleneck, prolonging the critical paths of memory accesses. In inter-chiplet coherence traffic, since each chiplet often needs to wait reactively for data from remote chiplets, proactive data-fetching mechanisms such as prefetching are essential to anticipate inter-chiplet data accesses and mitigate latency. Nevertheless, traditional prefetchers are inadequate for explicitly handling inter-chiplet shared-data transfers, overlooking potential prefetching opportunities. To overcome this limitation, we propose SAP, a shared-aware prefetching mechanism that minimizes inter-chiplet data access latency. By transforming the IO chiplet into an active prefetching agent, SAP proactively fetches inter-chiplet shared data before demand requests arrive, utilizing a sharing table to track recent shared-data events and a prefetch agent to initiate inter-chiplet data transfers early. Our experiments on a chiplet-based system demonstrate that SAP improves system throughput by 13.44% and reduces execution time by 12.33% compared to the prior design.
期刊介绍:
IEEE Computer Architecture Letters is a rigorously peer-reviewed forum for publishing early, high-impact results in the areas of uni- and multiprocessor computer systems, computer architecture, microarchitecture, workload characterization, performance evaluation and simulation techniques, and power-aware computing. Submissions are welcomed on any topic in computer architecture, especially but not limited to: microprocessor and multiprocessor systems, microarchitecture and ILP processors, workload characterization, performance evaluation and simulation techniques, compiler-hardware and operating system-hardware interactions, interconnect architectures, memory and cache systems, power and thermal issues at the architecture level, I/O architectures and techniques, independent validation of previously published results, analysis of unsuccessful techniques, domain-specific processor architectures (e.g., embedded, graphics, network, etc.), real-time and high-availability architectures, reconfigurable systems.