动态粒度存储系统

D. Yoon, Minseong Jeong, Michael B. Sullivan, M. Erez
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引用次数: 72

摘要

芯片多处理器可以通过每个芯片越来越多的内核来实现持续的性能扩展。然而,当计算吞吐量超过可用内存带宽时,系统瓶颈将转移到主存。本文提出了一种动态粒度内存系统(dynamic granularity memory system, DGMS),通过在细粒度和粗粒度内存访问之间动态转换,避免了不必要的数据传输,节省了电力,提高了系统性能。DGMS在硬件中动态预测内存访问粒度,不需要软件或操作系统的支持。相对于先前的多粒度内存系统,DGMS的动态操作使其更容易实现和更高效,同时保持了相当水平的系统性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The dynamic granularity memory system
Chip multiprocessors enable continued performance scaling with increasingly many cores per chip. As the throughput of computation outpaces available memory bandwidth, however, the system bottleneck will shift to main memory. We present a memory system, the dynamic granularity memory system (DGMS), which avoids unnecessary data transfers, saves power, and improves system performance by dynamically changing between fine and coarse-grained memory accesses. DGMS predicts memory access granularities dynamically in hardware, and does not require software or OS support. The dynamic operation of DGMS gives it superior ease of implementation and power efficiency relative to prior multi-granularity memory systems, while maintaining comparable levels of system performance.
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