SegFold achieves 1.95× geometric-mean speedup over prior SpGEMM accelerators via fine-grained dynamic scheduling and remapping in its Segment dataflow.
ZeD: A generalized accelerator for variably sparse matrix computations in ML,
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SegFold: Accelerating Sparse GEMM with a Fine-Grained Dynamic Dataflow
SegFold achieves 1.95× geometric-mean speedup over prior SpGEMM accelerators via fine-grained dynamic scheduling and remapping in its Segment dataflow.