SimplePIM: A Software Framework for Productive and Efficient Processing-in-Memory
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Date
2023
Publication Type
Conference Paper
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yes
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Abstract
Data movement between memory and processors is a major bottleneck in modern computing systems. The processing-in-memory (PIM) paradigm aims to alleviate this bottleneck by performing computation inside memory chips. Real PIM hardware (e.g., the UPMEM system) is now available and has demonstrated potential in many applications. However, programming such real PIM hardware remains a challenge for many programmers. This paper presents a new software framework, SimplePIM, to aid programming real PIM systems. The framework processes arrays of arbitrary elements on a PIM device by calling iterator functions from the host and provides primitives for communication among PIM cores and between PIM and the host system. We implement SimplePIM for the UPMEM PIM system and evaluate it on six major applications. Our results show that SimplePIM enables 66.5% to 83.1% reduction in lines of code in PIM programs. The resulting code leads to higher performance (between 10% and 37% speedup) than hand-optimized code in three applications and provides comparable performance in three others. SimplePIM is fully and freely available at https://github.com/CMU-SAFARI/SimplePIM.
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Publication status
published
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Editor
Book title
2023 32nd International Conference on Parallel Architectures and Compilation Techniques (PACT)
Journal / series
Volume
Pages / Article No.
99 - 111
Publisher
IEEE
Event
32nd International Conference on Parallel Architectures and Compilation Techniques (PACT 2023)
Edition / version
Methods
Software
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Date collected
Date created
Subject
In memory processing
Organisational unit
09483 - Mutlu, Onur / Mutlu, Onur