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PimPam: Efficient Graph Pattern Matching on Real Processing-in-Memory Hardware

Summary: PimPam maps graph pattern matching onto real commercial PIM hardware, attacking the memory-wall bottleneck with bandwidth-rich near-data execution. Key ideas: load-aware tasking, parallel partitioning, adaptive threading, and dynamic bitmaps for set intersection; 22.5x avg speedup over CPU baselines. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
6925
Venue
SIGMOD
Year
2024
Pagerank
4.3663649e-05
Overall Rank
9,267 | 35.54%
DOI
10.1145/3654964

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
10,670 X-Blossom: Massive Parallelization of Graph Maximum Matching 2025 VLDB 4.1945683e-05
10,733 Subgraph Matching: A New Decomposition Based Approach 2025 VLDB 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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