pith:7NH7VC5I
SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication
SHIRO reduces distributed SpMM communication overhead by sending only the data needed for non-zero multiplications and prioritizing fast intra-node GPU links.
arxiv:2512.20178 v2 · 2025-12-23 · cs.DC · cs.PF
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Claims
SHIRO demonstrates strong scalability up to 128 GPUs, achieving geometric mean speedups of 221.5×, 56.0×, 23.4×, and 8.8× in SpMM over four state-of-the-art baselines (CAGNET, SPA, BCL, and CoLa, respectively) at this scale.
The sparsity patterns present in the evaluated real-world datasets allow the fine-grained strategy to eliminate most redundant transfers, and the target hardware uses a two-tier GPU network where intra-node links are substantially faster than inter-node links.
SHIRO achieves geometric mean speedups of 221.5x to 8.8x over four baselines in distributed SpMM on up to 128 GPUs by exploiting sparsity patterns and two-tier network topologies.
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| First computed | 2026-05-18T03:09:32.471914Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
fb4ffa8ba84d6037fbf3a74d2265eb557d6e7c2dda2d47a9d7ba4cda05685854
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/7NH7VC5IJVQDP67TU5GSEZPLKV \
| jq -c '.canonical_record' \
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# expect: fb4ffa8ba84d6037fbf3a74d2265eb557d6e7c2dda2d47a9d7ba4cda05685854
Canonical record JSON
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