Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads-Reference-Cited by-同舟云学术

Sparse-DySta: Sparsity-Aware Dynamic and Static Scheduling for Sparse Multi-DNN Workloads

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

Fan Hongxiang¹^ORCID,Venieris Stylianos I.²^ORCID,Kouris Alexandros³^ORCID,Lane Nicholas⁴^ORCID

Affiliation:

1. Samsung AI Cambridge and University of Cambridge, United Kingdom

2. Samsung AI, United Kingdom

3. Samsung AI and Imperial College London, United Kingdom

4. University of Cambridge and Samsung AI, United Kingdom

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613424.3614263

Reference70 articles.

1. Smart at what cost?

2. A Multi-Neural Network Acceleration Architecture

3. Davis Blalock , Jose Javier Gonzalez Ortiz , Jonathan Frankle , and John Guttag . 2020 . What is the State of Neural Network Pruning? . In Conference on Machine Learning and Systems (MLSys). Davis Blalock, Jose Javier Gonzalez Ortiz, Jonathan Frankle, and John Guttag. 2020. What is the State of Neural Network Pruning?. In Conference on Machine Learning and Systems (MLSys).

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

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

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