Fast Optimisation of Convolutional Neural Network Inference using System Performance Models-Reference-Cited by-同舟云学术

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Fast Optimisation of Convolutional Neural Network Inference using System Performance Models

Published:2021-04-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 1st Workshop on Machine Learning and Systems
language:
Short-container-title:

Author:

Mulder Rik¹,Radu Valentin²,Dubach Christophe³

Affiliation:

1. University of Edinburgh

2. University of Sheffield

3. McGill University

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC)

Horizon 2020 Framework Programme

Canada CIFAR AI Chairs Program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3437984.3458840

Reference19 articles.

1. Optimal DNN primitive selection with partitioned boolean quadratic programming

2. Exploration of Low Numeric Precision Deep Learning Inference Using Intel® FPGAs

Cited by 3 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. Performance Analysis and Optimizations of Matrix Multiplications on ARMv8 Processors;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

2. Automating reinforcement learning architecture design for code optimization;Proceedings of the 31st ACM SIGPLAN International Conference on Compiler Construction;2022-03-18

3. Automatic Generation of High-Performance Convolution Kernels on ARM CPUs for Deep Learning;IEEE Transactions on Parallel and Distributed Systems;2022

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