Recent Trends in Leveraging Processing-in-Memory for Accelerating Relational Database Management Systems 


Vol. 13,  No. 11, pp. 579-584, Nov.  2024
https://doi.org/10.3745/TKIPS.2024.13.11.579


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  Abstract

In this paper, we present a comprehensive survey on recent research exploiting Processing-In-Memory (PIM) to enhance the performance of Relational Database Management Systems (RDBMSs). PIM integrates In-Memory Processors (IMPs) near memory banks, allowing memory-intensive operations to leverage the high internal memory bandwidth and computational capabilities of IMPs. Given that many key operations of RDBMSs are memory-heavy and require a large number of frequent memory accesses, PIM has emerged as a promising solution for accelerating RDBMSs. We provide an overview of the key architectural characteristics of commodity PIM-enabled memory devices, examine how recent studies have applied PIM to accelerate RDBMSs, and explore potential research directions in PIM-accelerated RDBMSs.

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[IEEE Style]

T. Kim, G. Kim, Y. Kim, J. Kim, "Recent Trends in Leveraging Processing-in-Memory for Accelerating Relational Database Management Systems," The Transactions of the Korea Information Processing Society, vol. 13, no. 11, pp. 579-584, 2024. DOI: https://doi.org/10.3745/TKIPS.2024.13.11.579.

[ACM Style]

Taehun Kim, Gyutae Kim, Youngsok Kim, and Joonsung Kim. 2024. Recent Trends in Leveraging Processing-in-Memory for Accelerating Relational Database Management Systems. The Transactions of the Korea Information Processing Society, 13, 11, (2024), 579-584. DOI: https://doi.org/10.3745/TKIPS.2024.13.11.579.

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