SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference-Reference-Cited by-同舟云学术

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SNAP: An Efficient Sparse Neural Acceleration Processor for Unstructured Sparse Deep Neural Network Inference

Published:2021-02 Issue:2 Volume:56 Page:636-647
ISSN:0018-9200
Container-title:IEEE Journal of Solid-State Circuits
language:
Short-container-title:IEEE J. Solid-State Circuits

Author:

Zhang Jie-Fang^ORCID,Lee Ching-En,Liu Chester^ORCID,Shao Yakun Sophia,Keckler Stephen W.,Zhang Zhengya^ORCID

Funder

Defense Advanced Research Projects Agency (DARPA) Common Heterogeneous Integration and IP Reuse Strategies

DARPA Circuit Realization at Faster Timescales

Toyota Research Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/4/9338450/09310233.pdf?arnumber=9310233

Cited by 46 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Complex-valued soft-log threshold reweighting for sparsity of complex-valued convolutional neural networks;Neural Networks;2024-12

2. Energy and Bandwidth Efficient Sparse Programmable Dataflow Accelerator;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-09

3. SwiSS: Switchable Single-Sided Sparsity-based DNN Accelerators;Proceedings of the 29th ACM/IEEE International Symposium on Low Power Electronics and Design;2024-08-05

4. RAMAN: A Reconfigurable and Sparse tinyML Accelerator for Inference on Edge;IEEE Internet of Things Journal;2024-07-15

5. ALSCA: A Large-Scale Sparse CNN Accelerator Using Position-First Dataflow and Input Channel Merging Approach;IEEE Transactions on Circuits and Systems II: Express Briefs;2024-07

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