SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators-Reference-Cited by-同舟云学术

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SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators

Published:2024-08-05 Issue: Volume:18 Page:1-6
ISSN:
Container-title:Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design
language:
Short-container-title:

Author:

Kundu Shamik¹²^ORCID,Ghosh Soumendu Kumar³^ORCID,Raha Arnab⁴^ORCID,Mathaikutty Deepak A⁵^ORCID

Affiliation:

1. University of Texas at Dallas, Dallas, TX, United States

2. Intel Corporation, Santa Clara, CA, USA

3. Intel Corporation, Hillsboro, OR, United States

4. Intel Corporation, Santa Clara, CA, United States

5. Intel Corporation, Chandler, AZ, United States

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3665314.3670830

Reference15 articles.

1. Cnvlutin

2. Eyeriss: An Energy-Efficient Reconfigurable Accelerator for Deep Convolutional Neural Networks

3. Eyeriss v2: A Flexible Accelerator for Emerging Deep Neural Networks on Mobile Devices

4. Pruning activations and weights of neural networks with programmable thresholds;Ghosh;US Patent App.,2023

5. SparTen

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