TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning-Reference-Cited by-同舟云学术

TSUNAMI: Triple Sparsity-Aware Ultra Energy-Efficient Neural Network Training Accelerator With Multi-Modal Iterative Pruning

Author:

Kim Sangyeob¹^ORCID,Lee Juhyoung¹^ORCID,Kang Sanghoon¹^ORCID,Han Donghyeon¹^ORCID,Jo Wooyoung¹^ORCID,Yoo Hoi-Jun¹^ORCID

Affiliation:

1. School of Electrical Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea

Funder

Institute of Information and Communications Technology Planning and Evaluation (IITP) Grant by the Korean Government through MSIT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

Reference29 articles.

2. Pruning convolutional neural networks for resource efficient transfer learning;molchanov;Proc ICLR,2017

3. Google’s neural machine translation system: Bridging the gap between human and machine translation;wu;arXiv 1609 08144,2016

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