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.
Dtc-spmm: Bridging the gap in accelerating general sparse matrix multiplication with tensor cores,
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SHIRO: Near-Optimal Communication Strategies for Distributed Sparse Matrix Multiplication
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.