Detailed Analysis and Optimization of Irregular-Shaped Matrix Multiplication on Multi-Core DSPs-Reference-Cited by-同舟云学术

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Detailed Analysis and Optimization of Irregular-Shaped Matrix Multiplication on Multi-Core DSPs

Published:2024-08-12 Issue: Volume:41 Page:1176-1186
ISSN:
Container-title:Proceedings of the 53rd International Conference on Parallel Processing
language:
Short-container-title:

Author:

Mo Haotian¹^ORCID,Wang Qinglin¹^ORCID,Liao Linyu¹^ORCID,Li Biao¹^ORCID,Chi Lihua²^ORCID,Liu Jie¹^ORCID

Affiliation:

1. Laboratory of Digitizing Software for Frontier Equipment, National University of Defense Technology, China and National Key Laboratory of Parallel and Distributed Computing, National University of Defense Technology, China

2. Hunan GuoKe Computility Technology Co., Ltd, China

Funder

the National Key Research and Development Program of China

the National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3673038.3673101

Reference26 articles.

1. Level-3 BLAS on the TI C6678 Multi-core DSP

2. Kumar Chellapilla, Sidd Puri, and Patrice Simard. 2006. High performance convolutional neural networks for document processing. In Tenth International Workshop on Frontiers in Handwriting Recognition. Suvisoft.

3. Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs

4. TSM2

5. Sharan Chetlur, Cliff Woolley, Philippe Vandermersch, Jonathan Cohen, John Tran, Bryan Catanzaro, and Evan Shelhamer. 2014. cudnn: Efficient primitives for deep learning. arXiv preprint arXiv:1410.0759 (2014).

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