Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference-Reference-Cited by-同舟云学术

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Precision-aware Latency and Energy Balancing on Multi-Accelerator Platforms for DNN Inference

Published:2023-08-07 Issue: Volume: Page:
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Container-title:2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED)
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Author:

Risso Matteo¹,Burrello Alessio¹,Sarda Giuseppe Maria²,Benini Luca³,Macii Enrico¹,Poncino Massimo¹,Verhelst Marian²,Pagliari Daniele Jahier¹

Affiliation:

1. Politecnico di Torino,Turin,Italy

2. KU Leuven,Belgium

3. University of Bologna,Bologna,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10244176/10244185/10244311.pdf?arnumber=10244311

Reference26 articles.

1. Neurosurgeon

2. AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators

3. Rethinking Differentiable Search for Mixed-Precision Neural Networks

4. CRIME: Input-Dependent Collaborative Inference for Recurrent Neural Networks

5. Deep learning inference parallelization on heteroge-neous processors with tensorrt;jeong;IEEE Embed Syst Lett,2022

Cited by 2 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. Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

2. PLiNIO: A User-Friendly Library of Gradient-Based Methods for Complexity-Aware DNN Optimization;2023 Forum on Specification & Design Languages (FDL);2023-09-13

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