SpMMPlu: A Compiler Plug-in with Sparse IR for Efficient Sparse Matrix Multiplication

Sparsity is becoming arguably the most critical dimension to explore for efficiency and scalability as deep learning models grow significantly larger. Particularly, pruning is a common method to reduce redundant computations in attention-based and convolution-based models. The induced sparse matrix...

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Vydané v:	2023 60th ACM/IEEE Design Automation Conference (DAC) s. 1 - 6
Hlavní autori:	Yang, Tao, Zhou, Yiyuan, Tang, Qidong, Xu, Feng, Ma, Hui, Zhao, Jieru, Jiang, Li
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 09.07.2023
Predmet:	CNN Computational modeling Computer architecture Deep learning DNN compiler Graphics processing units Intermediate representation Parallel processing Plug-in Processor scheduling Scalability Sparsity Transformer
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