芯片多处理器中压缩与预取的相互作用

Alaa R. Alameldeen, D. Wood
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引用次数: 74

摘要

在芯片多处理器(cmp)中,多个内核竞争共享资源,如片上缓存和片外引脚带宽。基于跨行的硬件预取会增加对这些资源的需求,导致争用,从而降低性能(在我们的一个基准测试中,争用可达35%)。在本文中,我们首先证明了缓存和链路(片外互连)压缩可以增加有效的缓存容量(从而减少片外丢失)并增加有效的片外带宽(减少争用)。在没有预取的8处理器CMP上,压缩可将商业工作负载的性能提高18%。其次,我们提出了一个简单的自适应预取机制,该机制使用缓存压缩额外的标签来检测无用和有害的预取。此外,在本文的中心结果中,我们表明压缩和预取以一种强烈的积极方式相互作用,导致我们八个工作负载中的七个的综合性能提高了10-51%
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Interactions Between Compression and Prefetching in Chip Multiprocessors
In chip multiprocessors (CMPs), multiple cores compete for shared resources such as on-chip caches and off-chip pin bandwidth. Stride-based hardware prefetching increases demand for these resources, causing contention that can degrade performance (up to 35% for one of our benchmarks). In this paper, we first show that cache and link (off-chip interconnect) compression can increase the effective cache capacity (thereby reducing off-chip misses) and increase the effective off-chip bandwidth (reducing contention). On an 8-processor CMP with no prefetching, compression improves performance by up to 18% for commercial workloads. Second, we propose a simple adaptive prefetching mechanism that uses cache compressions extra tags to detect useless and harmful prefetches. Furthermore, in the central result of this paper, we show that compression and prefetching interact in a strong positive way, resulting in combined performance improvement of 10-51% for seven of our eight workloads
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