Bridging the gap between deep learning and sparse matrix format selection-Reference-Cited by-同舟云学术

Bridging the gap between deep learning and sparse matrix format selection

Published:2018-02-10 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming
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Author:

Zhao Yue¹,Li Jiajia²,Liao Chunhua³,Shen Xipeng¹

Affiliation:

1. North Carolina State University

2. Georgia Institute of Technology

3. Lawrence Livermore National Laboratory

Funder

IBM Ph.D. Fellowship Award

DOE Early Career Award

National Science Foundation (NSF)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3178487.3178495

Reference43 articles.

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4. Amir Beck and Marc Teboulle. 2009. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM journal on imaging sciences 2 1 (2009) 183--202. 10.1137/080716542 Amir Beck and Marc Teboulle. 2009. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM journal on imaging sciences 2 1 (2009) 183--202. 10.1137/080716542

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