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ATMem: adaptive data placement in graph applications on heterogeneous memories

Yu Chen, Ivy Peng, Zhen Peng, Xu Liu, Bin Ren

202034 citationsDOIOpen Access PDF

Abstract

Active development in new memory devices, such as non-volatile memories and high-bandwidth memories, brings heterogeneous memory systems (HMS) as a promising solution for implementing large-scale memory systems with cost, area, and power limitations. Typical HMS consists of a small-capacity high-performance memory and a large-capacity low-performance memory. Data placement on such systems plays a critical role in performance optimization. Existing efforts have explored coarse-grained data placement in applications with dense data structures; however, a thorough study of applications that are based on graph data structures is still missing.

Topics & Concepts

Computer scienceGraphParallel computingDistributed computingTheoretical computer scienceParallel Computing and Optimization TechniquesAdvanced Data Storage TechnologiesCaching and Content Delivery
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