降低终端用户设备中非易失性堆的持久性成本

Sudarsun Kannan, Ada Gavrilovska, K. Schwan
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引用次数: 24

摘要

本文探讨了在终端客户端设备中使用未来的字节可寻址非易失性存储器(NVM)(如PCM)对性能的影响。我们将探讨如何在低开销和低成本的情况下获得双重好处——增加容量和更快的持久性。具体来说,虽然可以通过将NVM视为虚拟内存来增加内存容量,但它对持久数据存储的使用会带来高一致性(频繁的缓存刷新)和持久性(记录故障)开销,称为“持久性成本”。这些问题不仅会影响产生这些问题的应用程序,还会影响依赖相同缓存和/或内存层次结构的其他应用程序。本文详细分析和量化了持久性的性能开销,包括:(1)前面提到的缓存干扰;(2)内存分配器开销;(3)由于日志记录导致的持久性开销。克服此类开销的新解决方案包括:(1)减少与干扰相关的缓存丢失的页面连续性算法,(2)缓存高效的NVM写感知内存分配器,可将分配器状态的缓存线刷新减少8倍,以及(3)混合日志记录,可大幅降低持久性开销。使用这些解决方案,在不同的终端用户应用程序和SPEC2006基准测试中进行的实验评估显示,缓存丢失最多减少了12%,从而减少了NVM写操作的总数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reducing the cost of persistence for nonvolatile heaps in end user devices
This paper explores the performance implications of using future byte addressable non-volatile memory (NVM) like PCM in end client devices. We explore how to obtain dual benefits - increased capacity and faster persistence - with low overhead and cost. Specifically, while increasing memory capacity can be gained by treating NVM as virtual memory, its use of persistent data storage incurs high consistency (frequent cache flushes) and durability (logging for failure) overheads, referred to as `persistence cost'. These not only affect the applications causing them, but also other applications relying on the same cache and/or memory hierarchy. This paper analyzes and quantifies in detail the performance overheads of persistence, which include (1) the aforementioned cache interference as well as (2) memory allocator overheads, and finally, (3) durability costs due to logging. Novel solutions to overcome such overheads include (1) a page contiguity algorithm that reduces interference-related cache misses, (2) a cache efficient NVM write aware memory allocator that reduces cache line flushes of allocator state by 8X, and (3) hybrid logging that reduces durability overheads substantially. With these solutions, experimental evaluations with different end user applications and SPEC2006 benchmarks show up to 12% reductions in cache misses, thereby reducing the total number of NVM writes.
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