Nap: A Black-Box Approach to NUMA-Aware Persistent Memory Indexes


Qing Wang, Youyou Lu, Junru Li, and Jiwu Shu, Tsinghua University


We present Nap, a black-box approach that converts concurrent persistent memory (PM) indexes into NUMA-aware counterparts. Based on the observation that real-world workloads always feature skewed access patterns, Nap introduces a NUMA-aware layer (NAL) on the top of existing concurrent PM indexes, and steers accesses to hot items to this layer. The NAL maintains 1) per-node partial views in PM for serving insert/update/delete operations with failure atomicity and 2) a global view in DRAM for serving lookup operations. The NAL eliminates remote PM accesses to hot items without inducing extra local PM accesses. Moreover, to handle dynamic workloads, Nap adopts a fast NAL switch mechanism. We convert five state-of-the-art PM indexes using Nap. Evaluation on a four-node machine with Optane DC Persistent Memory shows that Nap can improve the throughput by up to 2.3✕ and 1.56✕ under write-intensive and read-intensive workloads, respectively.

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@inproceedings {273749,
author = {Qing Wang and Youyou Lu and Junru Li and Jiwu Shu},
title = {Nap: A Black-Box Approach to NUMA-Aware Persistent Memory Indexes},
booktitle = {15th {USENIX} Symposium on Operating Systems Design and Implementation ({OSDI} 21)},
year = {2021},
isbn = {978-1-939133-22-9},
pages = {93--111},
url = {},
publisher = {{USENIX} Association},
month = jul,