DTC-SpMM: Bridging the Gap in Accelerating General Sparse Matrix Multiplication with Tensor Cores
Author:
Affiliation:
1. Data Science and Analytics Thrust, HKUST(GZ), Guangzhou, Guangdong, China
2. Department of Computer Science & Engineering, HKUST, Hong Kong, China
Funder
National Natural Science Foundation of China
Hong Kong RIF
Hong Kong CRF
Publisher
ACM
Reference66 articles.
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2. AMD. AOCL: AMD optimizing CPU libraries, 2020. Accessed on July 26, 2023.
3. Probing the Efficacy of Hardware-Aware Weight Pruning to Optimize the SpMM Routine on Ampere GPUs
4. Efficient tensor core-based GPU kernels for structured sparsity under reduced precision
5. Rewon Child, Scott Gray, Alec Radford, and Ilya Sutskever. Generating long sequences with sparse transformers. arXiv preprint arXiv:1904.10509, 2019.
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