物联网终端非易失缓存的弹性自适应预取

Mao Ni, Lan Chen, Xiaoran Hao, Chenji Liu, Yiheng Zhang, Ying Li
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引用次数: 1

摘要

存储密度高、泄漏能量接近于零、兼容CMOS的STT-RAM被认为可以替代SRAM构建大容量缓存,可以有效缓解“内存墙”,提高物联网终端的计算能力。面向SRAM缓存的近侧预取节流(NST)技术可以有效地隐藏片外存储器的访问延迟。但是,它对STT-RAM缓存的长写时延和高写能量也表现出一定的不适应性。NST算法不能及时缓解STT-RAM长写时延造成的缓存拥塞,如果STT-RAM缓存拥塞,通过调整预取距离来提高预取时效性是无效的。针对上述问题,本文提出了一种针对STT-RAM缓存的周期性实时互补预取算法ENCP。实验表明,与性能最好的STREAM预取器相比,ENCP可使STREAM缓存的写能量平均降低8.3%,最大降低23%;CPU IPC性能平均提高0.46%,最大提高3.1%。与NST相比,ENCP在硬件开销几乎相同的情况下具有更好的性能和更低的动态能量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elastic adaptive prefetching for non-volatile cache in IoT terminals
STT-RAM with high storage density, near-zero leakage energy and CMOS compatibility is regarded as a replacement for SRAM to build large-sized cache, which can effectively alleviate the “memory wall” and improve computing power of IoT terminals. The state-of-the-art Near-Side Prefetch Throttling (NST) oriented to SRAM cache can effectively hide the access latency of off-chip memory. However, it also shows some inadaptability to the long write latency and high write energy of STT-RAM cache. The NST algorithm can not timely alleviate the cache congestion caused by STT-RAM long write latency, moreover, if the STT-RAM cache is congested, adjusting the prefetch distance is invalid to improve the prefetch timeliness. In response to the above problems, this paper novelly proposes a periodic and real-time complementary prefetch algorithm called ENCP for STT-RAM cache. Experiments show that, compared to the best- performed STREAM prefetcher, ENCP can reduce the write energy of STTRAM cache by 8.3% on average and 23% the most and improve the CPU IPC performance by 0.46% on average and 3.1% the most. And the ENCP has better performance and lower dynamic energy compared with NST with almost the same hardware overhead.
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