理解和改进Optane™DC内存上的持久事务

P. Zardoshti, Michael F. Spear, A. Vosoughi, G. Swart
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引用次数: 4

摘要

将数据结构存储在高容量字节可寻址的永久存储器中,而不是DRAM或存储设备中,提供了以下机会:(1)与DRAM相比降低成本和功耗;(2)与存储相比减少I/O操作所需的延迟和CPU资源;(3)允许快速恢复,因为数据结构在机器故障后仍保留在内存中。该领域的首个商用产品是英特尔®Optane™Direct Connect (Optane™DC) Persistent Memory。Optane™DC保证访问时间在DRAM的恒定系数内,具有更大的容量,更低的能耗和持久性。我们提出了持久事务性内存性能的实验评估,并探讨了Optane™DC持久性域如何影响整体结果。鉴于两种可用的耐久性域都不能提供与DRAM竞争的性能,我们引入并模拟了一种新的耐久性域,称为PDRAM,其中内存控制器跟踪足够的信息(并具有足够的备用功率),使DRAM表现得像Optane™DC内存的持久缓存。在本文中,我们比较了这些持久性域在五种持久性事务性内存应用程序的几种配置上的性能。我们发现了很大的吞吐量差异,这强调了为每个应用程序和系统选择最佳持久性域的重要性。同时,我们的结果证实,最近发布的持久事务性内存算法能够扩展,并且最近对这些算法的优化带来了强大的性能,在16线程时速度提升高达6倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding and Improving Persistent Transactions on Optane™ DC Memory
Storing data structures in high-capacity byte-addressable persistent memory instead of DRAM or a storage device offers the opportunity to (1) reduce cost and power consumption compared with DRAM, (2) decrease the latency and CPU resources needed for an I/O operation compared with storage, and (3) allow for fast recovery as the data structure remains in memory after a machine failure. The first commercial offering in this space is Intel® Optane™ Direct Connect (Optane™ DC) Persistent Memory. Optane™ DC promises access time within a constant factor of DRAM, with larger capacity, lower energy consumption, and persistence. We present an experimental evaluation of persistent transactional memory performance, and explore how Optane™ DC durability domains affect the overall results. Given that neither of the two available durability domains can deliver performance competitive with DRAM, we introduce and emulate a new durability domain, called PDRAM, in which the memory controller tracks enough information (and has enough reserve power) to make DRAM behave like a persistent cache of Optane™ DC memory.In this paper we compare the performance of these durability domains on several configurations of five persistent transactional memory applications. We find a large throughput difference, which emphasizes the importance of choosing the best durability domain for each application and system. At the same time, our results confirm that recently published persistent transactional memory algorithms are able to scale, and that recent optimizations for these algorithms lead to strong performance, with speedups as high as 6× at 16 threads.
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