Energy Consumption Evaluation of Optane DC Persistent Memory for Indexing Data Structures

TL;DR

This paper evaluates the energy efficiency of Intel Optane DC Persistent Memory for indexing data structures and key-value stores, showing significant energy savings and performance improvements over SSDs in HPC workloads.

Contribution

It provides an in-depth analysis of Optane DCPM's energy consumption for various indexes and the LevelDB store, highlighting its advantages over traditional storage.

Findings

Energy consumption drops by 71.2% with Optane DCPM.

Throughput increases by 37.3% using Optane DCPM.

Significant energy and performance benefits over SSDs.

Abstract

The Intel Optane DC Persistent Memory (DCPM) is an attractive novel technology for building storage systems for data intensive HPC applications, as it provides lower cost per byte, low standby power and larger capacities than DRAM, with comparable latency. This work provides an in-depth evaluation of the energy consumption of the Optane DCPM, using well-established indexes specifically designed to address the challenges and constraints of the persistent memories. We study the energy efficiency of the Optane DCPM for several indexing data structures and for the LevelDB key-value store, under different types of YCSB workloads. By integrating an Optane DCPM in a memory system, the energy drops by 71.2% and the throughput increases by 37.3% for the LevelDB experiments, compared to a typical SSD storage solution.