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
Graph Convolutional Networks (GCNs) are widely used in tasks involving irregular graph data, such as recommendation. The hybrid execution pattern of sparse aggregation and dense combination during inference limits the efficiency of general processors like CPU and GPU. Therefore, designing dedicated accelerators for GCN...
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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