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SimplePIM: A Software Framework for Productive and Efficient Processing-in-Memory
October 03, 2023 Β· Entered Twilight Β· π International Conference on Parallel Architectures and Compilation Techniques
Repo contents: .gitignore, LICENSE, README.md, benchmarks, lib
Authors
Jinfan Chen, Juan GΓ³mez-Luna, Izzat El Hajj, Yuxin Guo, Onur Mutlu
arXiv ID
2310.01893
Category
cs.AR: Hardware Architecture
Cross-listed
cs.DC,
cs.SE
Citations
30
Venue
International Conference on Parallel Architectures and Compilation Techniques
Repository
https://github.com/CMU-SAFARI/SimplePIM
β 31
Last Checked
2 months ago
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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