Reproducibility Report for ACM SIGMOD 2024 Paper: 'PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware'

This is a reproducibility report for the paper ''PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware'' published in SIGMOD 2024. The paper proposes an efficient graph pattern matching framework that utilizes the real Processing-in-Memory hardware UPMEM. The main evaluation results of the paper are successfully reproduced. They demonstrate the better performance of PimPam over conventional systems.

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Published
2025-03-21
DOI
https://doi.org/10.1145/3687998.3717042
Primary Topic
Graph Theory and Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

Reproducibility Report for ACM SIGMOD 2024 Paper: 'PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware'

Mo Sha, Mingyu Gao, Boyu Tian, Huanchen Zhang et al.
Graph Theory and Algorithms
article

Reproducibility Report for ACM SIGMOD 2024 Paper: 'PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware'

Mo Sha, Mingyu Gao, Boyu Tian, Huanchen Zhang, Shuangyu Cai, Kaiqiang Yu
article en

Abstract

This is a reproducibility report for the paper ''PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware'' published in SIGMOD 2024. The paper proposes an efficient graph pattern matching framework that utilizes the real Processing-in-Memory hardware UPMEM. The main evaluation results of the paper are successfully reproduced. They demonstrate the better performance of PimPam over conventional systems.

Nanyang Technological University (SG), ShangHai JiAi Genetics & IVF Institute (CN), Tsinghua University (CN)
Openalex Percentile: Top 95%
Graph Theory and Algorithms
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Reproducibility Report for ACM SIGMOD 2024 Paper: 'PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware' — Mo Sha, Mingyu Gao, et al. · (2025) | TGRS Research Map | TGRS