Revisiting hash table design for phase change memory

INFLOW '15 Pub Date : 2015-10-04 DOI:10.1145/2819001.2819002
Biplob K. Debnath, Alireza Haghdoost, Asim Kadav, Mohammed G. Khatib, C. Ungureanu
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引用次数: 14

Abstract

Phase Change Memory (PCM) is emerging as an attractive alternative to Dynamic Random Access Memory (DRAM) in building data-intensive computing systems. PCM offers read/write performance asymmetry that makes it necessary to revisit the design of in-memory applications. In this paper, we focus on in-memory hash tables, a family of data structures with wide applicability. We evaluate several popular hash-table designs to understand their performance under PCM. We find that for write-heavy workloads the designs that achieve best performance for PCMdiffer from the ones that are best for DRAM, and that designs achieving a high load factor also cause a high number of memory writes. Finally, we propose PFHT, a PCM-Friendly Hash Table which presents a cuckoo hashing variant that is tailored to PCM characteristics, and offers a better trade-off between performance, the amount of writes generated, and the expected load factor than any of the existing DRAM-based implementations.
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重新审视相变存储器的哈希表设计
相变存储器(PCM)作为动态随机存取存储器(DRAM)的一种有吸引力的替代方案,在构建数据密集型计算系统中崭露头角。PCM提供了读/写性能不对称,这使得有必要重新考虑内存应用程序的设计。在本文中,我们关注内存哈希表,这是一种具有广泛适用性的数据结构。我们评估了几种流行的哈希表设计,以了解它们在PCM下的性能。我们发现,对于写量大的工作负载,实现pcm最佳性能的设计不同于实现DRAM最佳性能的设计,并且实现高负载因子的设计也会导致大量内存写入。最后,我们提出PFHT,这是一种PCM友好哈希表,它提供了一种针对PCM特性量身定制的杜鹃哈希变体,与任何现有的基于dram的实现相比,它在性能、生成的写入量和预期负载因子之间提供了更好的权衡。
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