27 citations · 32 across the 7 of their papers we have counts for
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cs.DC2022
OpSparse: a Highly Optimized Framework for Sparse General Matrix Multiplication on GPUs
Zhaoyang Du, Yijin Guan, Tianchan Guan +4
Sparse general matrix multiplication (SpGEMM) is an important and expensive computation primitive in many real-world applications. Due to SpGEMM's inherent irregularity and the vas…
cs.DC2022★ 1 cited
Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning
Guyue Huang, Haoran Li, Minghai Qin +3
Weight pruning in deep neural networks (DNNs) can reduce storage and computation cost, but struggles to bring practical speedup to the model inference time. Tensor-cores can signif…