SegFold achieves 1.95× geometric-mean speedup over prior SpGEMM accelerators via fine-grained dynamic scheduling and remapping in its Segment dataflow.
Sparten: A sparse tensor accelerator for convolutional neural networks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.AR 2years
2026 2representative citing papers
citing papers explorer
-
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.
- A comprehensive study on ILP acceleration accounting for sparsity, area, energy, data movement using near-memory architecture