Performance Modeling and Estimation of a Configurable Output Stationary Neural Network Accelerator-Reference-Cited by-同舟云学术

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Performance Modeling and Estimation of a Configurable Output Stationary Neural Network Accelerator

Published:2023-10-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
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Author:

Oudrhiri Ali¹,Taly Emilien¹,Bain Nathan¹,Munier Alix²,Guizzetti Roberto¹,Urard Pascal¹

Affiliation:

1. STMicroelectronics,Crolles,France

2. Sorbonne Université, CNRS, LIP6,Paris,France,F-75005

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10305712/10305717/10305893.pdf?arnumber=10305893

Reference24 articles.

1. NeuroMeter: An Integrated Power, Area, and Timing Modeling Framework for Machine Learning Accelerators Industry Track Paper

2. Runtime Design Space Exploration and Mapping of DCNNs for the Ultra-Low-Power Orlando SoC

3. An energy-efficient precision-scalable convnet processor in a 40-nm cmos;moons;IEEE Journal of Solid-State Circuits,2016

4. CACTI 7

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