HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity-Reference-Cited by-同舟云学术

HighLight: Efficient and Flexible DNN Acceleration with Hierarchical Structured Sparsity

Published:2023-10-28 Issue: Volume: Page:
ISSN:
Container-title:56th Annual IEEE/ACM International Symposium on Microarchitecture
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Author:

Wu Yannan Nellie¹^ORCID,Tsai Po-An²^ORCID,Muralidharan Saurav²^ORCID,Parashar Angshuman²^ORCID,Sze Vivienne¹^ORCID,Emer Joel³^ORCID

Affiliation:

1. Massachusetts Institute of Technology, United States of America

2. NVIDIA, United States of America

3. Massachusetts Institute of Technology, United States of America and NVIDIA, USA

Funder

MIT AI Hardware Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613424.3623786

Reference58 articles.

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2. Davis W. Blalock , Jose Javier Gonzalez Ortiz , Jonathan Frankle , and John V. Guttag . 2020 . What is the State of Neural Network Pruning? . In Proceedings of Machine Learning and Systems 2020 , MLSys 2020, Austin, TX, USA , March 2-4, 2020, Inderjit S. Dhillon, Dimitris S. Papailiopoulos, and Vivienne Sze (Eds.). mlsys.org. https://proceedings.mlsys.org/book/296.pdf Davis W. Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, and John V. Guttag. 2020. What is the State of Neural Network Pruning?. In Proceedings of Machine Learning and Systems 2020, MLSys 2020, Austin, TX, USA, March 2-4, 2020, Inderjit S. Dhillon, Dimitris S. Papailiopoulos, and Vivienne Sze (Eds.). mlsys.org. https://proceedings.mlsys.org/book/296.pdf

3. Findings of the 2016 Conference on Machine Translation

4. DianNao

5. Eyeriss

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