HBPB,应用重用距离主动提高高速缓存效率

IF 3.4 3区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS Journal of Parallel and Distributed Computing Pub Date : 2024-05-20 DOI:10.1016/j.jpdc.2024.104919
Arthur M. Krause, Paulo C. Santos, Arthur F. Lorenzon, Philippe O.A. Navaux
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引用次数: 0

摘要

高速缓冲存储器在现代处理器的性能、面积和能耗方面发挥着重要作用,而且随着芯片上存储器的增大,预计这种影响还会越来越大。虽然高速缓存对高速缓存友好的访问模式非常有效,但当高速缓存无法提供所需数据时,就会带来不必要的延迟和能源浪费。因此,有人提出了高速缓存旁路技术,以优化不适合高速缓存的内存访问延迟。在本方案中,我们讨论了 HBPB,这是一种基于历史记录的抢先绕过技术,可通过缩短绕过高速缓存的延迟来加速高速缓存不友好访问。通过广泛评估不同的实际应用和硬件缓存配置,我们发现,与不应用缓存旁路的版本相比,HBPB 可减少高达 75% 的能耗,提高高达 50% 的性能。更重要的是,我们证明 HBPB 不会影响具有缓存友好访问模式的应用程序的性能。
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HBPB, applying reuse distance to improve cache efficiency proactively

Cache memories play a significant role in the performance, area, and energy consumption of modern processors, and this impact is expected to grow as on-die memories become larger. While caches are highly effective for cache-friendly access patterns, they introduce unnecessary delays and energy wastage when they fail to serve the required data. Hence, cache bypassing techniques have been proposed to optimize the latency of cache-unfriendly memory accesses. In this scenario, we discuss HBPB, a history-based preemptive bypassing technique that accelerates cache-unfriendly access through the reduced latency of bypassing the caches. By extensively evaluating different real-world applications and hardware cache configurations, we show that HBPB yields energy reductions of up to 75% and performance improvements of up to 50% compared to a version that does not apply cache bypassing. More importantly, we demonstrate that HBPB does not affect the performance of applications with cache-friendly access patterns.

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来源期刊
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing 工程技术-计算机:理论方法
CiteScore
10.30
自引率
2.60%
发文量
172
审稿时长
12 months
期刊介绍: This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing. The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems.
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