Pith Number

pith:QZYS7BZ6

pith:2026:QZYS7BZ6GV2LSTIDRRFD2GQZW7

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ParamSpMM: Adaptive and Efficient Sparse Matrix-Matrix Multiplication on GPUs for GNNs

Guanhua Ye, Hongzheng Li, Lixing Zhang, Shigang Li, Yingxia Shao

ParamSpMM adapts SpMM on GPUs to graph inputs via a flexible data structure and ML predictor for better GNN efficiency.

arxiv:2605.15695 v1 · 2026-05-15 · cs.DC

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Claims

C1strongest claim

Our evaluations demonstrate that ParamSpMM outperforms Nvidia cuSPARSE with an average speedup of 1.92x, significantly enhancing GNN training efficiency.

C2weakest assumption

The ML-based SpMM-decider can reliably predict optimal configurations from the crafted input features across diverse graph characteristics.

C3one line summary

ParamSpMM uses a Parameterized Compressed Sparse Row format and an ML-based decider to adapt SpMM optimizations for GNNs, delivering 1.92x average speedup over cuSPARSE.

References

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[1] Arai, J., Shiokawa, H., Yamamuro, T., Onizuka, M., Iwamura, S.: Rabbit order: Just-in-time parallel reordering for fast graph analysis. In: (IPDPS). pp. 22–31 (2016) 2016

[2] Bader, D.A., Meyerhenke, H., Sanders, P., Wagner, D.: 10th dimacs implementa- tion challenge-graph partitioning and graph clustering (2011) 2011

[3] Waschington University in St 2009

[4] Dai, G., Huang, G., Yang, S., Yu, Z., Zhang, H., Ding, Y., Xie, Y., Yang, H., Wang, Y.: Heuristic adaptability to input dynamics for spmm on gpus. p. 595–600. DAC ’22 (2022) 2022

[5] Fan, R., Wang, W., Chu, X.: Fast sparse gpu kernels for accelerated training of graph neural networks. In: (IPDPS). pp. 501–511 (2023) 2023

Formal links

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Receipt and verification

First computed	2026-05-20T00:01:12.968184Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

86712f873e3574b94d038c4a3d1a19b7f0d6a243f0d5c9eb7f23c17ee0130ab8

Aliases

arxiv: 2605.15695 · arxiv_version: 2605.15695v1 · doi: 10.48550/arxiv.2605.15695 · pith_short_12: QZYS7BZ6GV2L · pith_short_16: QZYS7BZ6GV2LSTID · pith_short_8: QZYS7BZ6

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/QZYS7BZ6GV2LSTIDRRFD2GQZW7 \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 86712f873e3574b94d038c4a3d1a19b7f0d6a243f0d5c9eb7f23c17ee0130ab8

Canonical record JSON

{
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    "abstract_canon_sha256": "c9942ec6402e6c8017786a136e67d988352da8e1245359aa6ab5e795e249410e",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.DC",
    "submitted_at": "2026-05-15T07:38:04Z",
    "title_canon_sha256": "ae9587f0b25d2e2918d5f5dba1086758c9de9bb56d6deec4e7c4e4c13a0a6623"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15695",
    "kind": "arxiv",
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}