RODIS, a two-level acceleration scheme that utilizes row-orchestration at the data loading level to achieve inter-block load balancing and employs dynamic instruction scheduling at the underlying computation level to enhance MAC utilization, is proposed.
Jian-Feng Cui, Bo Yuan, Ze-Kun Jiang et al.· Proceedings of the Internati...· 0 citations
DCSR-GCN, a high-performance GCN accelerator based on dynamic compression and sparsity reordering based on dynamic compression and sparsity reordering, is presented and a two-phase reordering algorithm that combines conflict-aware row scheduling with reuse-aware column grouping is proposed, thereby mitigating RAW confl...
Jun-Sheng Chang, Yi-Min Zhao, Yu-Xin Huang et al.· ACM Transactions on Design A...· 0 citations
Following the Scaling Law, Deep Neural Networks face immense parameter scales and costs, making high-compression unstructured pruning attractive. Additionally, rising edge-side deployment demands have revived interest in activation sparsity. Consequently, unstructured sparse-dense and sparse-sparse matrix multiplicatio...
Jian-Feng Cui, Bo Yuan, Ze-Kun Jiang et al.· Proceedings of the Internati...· 0 citations
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