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GEVO: GPU Code Optimization using Evolutionary Computation

GEVO: GPU Code Optimization using Evolutionary Computation

17 April 2020
Jhe-Yu Liou
Xiaodong Wang
Stephanie Forrest
Carole-Jean Wu
ArXivPDFHTML

Papers citing "GEVO: GPU Code Optimization using Evolutionary Computation"

22 / 22 papers shown
Title
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep
  Reinforcement Learning
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning
Qijing Huang
Ameer Haj-Ali
William S. Moses
J. Xiang
Ion Stoica
Krste Asanović
J. Wawrzynek
30
59
0
02 Mar 2020
MLPerf Inference Benchmark
MLPerf Inference Benchmark
Vijayarāghava Reḍḍī
C. Cheng
David Kanter
Pete H Mattson
Guenther Schmuelling
...
Bing Yu
George Y. Yuan
Aaron Zhong
P. Zhang
Yuchen Zhou
92
504
0
06 Nov 2019
MLPerf Training Benchmark
MLPerf Training Benchmark
Arya D. McCarthy
Christine Cheng
Cody Coleman
Greg Diamos
Paulius Micikevicius
...
Carole-Jean Wu
Lingjie Xu
Masafumi Yamazaki
C. Young
Matei A. Zaharia
95
314
0
02 Oct 2019
DARTS: Differentiable Architecture Search
DARTS: Differentiable Architecture Search
Hanxiao Liu
Karen Simonyan
Yiming Yang
199
4,355
0
24 Jun 2018
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
TVM: An Automated End-to-End Optimizing Compiler for Deep Learning
Tianqi Chen
T. Moreau
Ziheng Jiang
Lianmin Zheng
Eddie Q. Yan
...
Leyuan Wang
Yuwei Hu
Luis Ceze
Carlos Guestrin
Arvind Krishnamurthy
181
374
0
12 Feb 2018
Neural Architecture Search with Bayesian Optimisation and Optimal
  Transport
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Kirthevasan Kandasamy
Willie Neiswanger
J. Schneider
Barnabás Póczós
Eric Xing
79
608
0
11 Feb 2018
Efficient Neural Architecture Search via Parameter Sharing
Efficient Neural Architecture Search via Parameter Sharing
Hieu H. Pham
M. Guan
Barret Zoph
Quoc V. Le
J. Dean
110
2,763
0
09 Feb 2018
Regularized Evolution for Image Classifier Architecture Search
Regularized Evolution for Image Classifier Architecture Search
Esteban Real
A. Aggarwal
Yanping Huang
Quoc V. Le
160
3,031
0
05 Feb 2018
Progressive Neural Architecture Search
Progressive Neural Architecture Search
Chenxi Liu
Barret Zoph
Maxim Neumann
Jonathon Shlens
Wei Hua
Li Li
Li Fei-Fei
Alan Yuille
Jonathan Huang
Kevin Patrick Murphy
109
1,991
0
02 Dec 2017
Hierarchical Representations for Efficient Architecture Search
Hierarchical Representations for Efficient Architecture Search
Hanxiao Liu
Karen Simonyan
Oriol Vinyals
Chrisantha Fernando
Koray Kavukcuoglu
3DV
87
928
0
01 Nov 2017
Learning Efficient Convolutional Networks through Network Slimming
Learning Efficient Convolutional Networks through Network Slimming
Zhuang Liu
Jianguo Li
Zhiqiang Shen
Gao Huang
Shoumeng Yan
Changshui Zhang
122
2,421
0
22 Aug 2017
Learning Transferable Architectures for Scalable Image Recognition
Learning Transferable Architectures for Scalable Image Recognition
Barret Zoph
Vijay Vasudevan
Jonathon Shlens
Quoc V. Le
174
5,603
0
21 Jul 2017
Genetic CNN
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
124
845
0
04 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
125
1,641
0
03 Mar 2017
Speed/accuracy trade-offs for modern convolutional object detectors
Speed/accuracy trade-offs for modern convolutional object detectors
Jonathan Huang
V. Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara Balan
...
Ian S. Fischer
Z. Wojna
Yang Song
S. Guadarrama
Kevin Patrick Murphy
3DH
3DV
91
2,572
0
30 Nov 2016
Neural Combinatorial Optimization with Reinforcement Learning
Neural Combinatorial Optimization with Reinforcement Learning
Irwan Bello
Hieu H. Pham
Quoc V. Le
Mohammad Norouzi
Samy Bengio
158
1,490
0
29 Nov 2016
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
462
5,372
0
05 Nov 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
433
18,361
0
27 May 2016
Local Rademacher Complexity-based Learning Guarantees for Multi-Task
  Learning
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning
Niloofar Yousefi
Yunwen Lei
Marius Kloft
M. Mollaghasemi
G. Anagnostopoulos
55
29
0
18 Feb 2016
MXNet: A Flexible and Efficient Machine Learning Library for
  Heterogeneous Distributed Systems
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems
Tianqi Chen
Mu Li
Yutian Li
Min Lin
Naiyan Wang
Minjie Wang
Tianjun Xiao
Bing Xu
Chiyuan Zhang
Zheng Zhang
196
2,247
0
03 Dec 2015
Deep learning with Elastic Averaging SGD
Deep learning with Elastic Averaging SGD
Sixin Zhang
A. Choromańska
Yann LeCun
FedML
96
610
0
20 Dec 2014
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient
  Descent
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
Feng Niu
Benjamin Recht
Christopher Ré
Stephen J. Wright
198
2,273
0
28 Jun 2011
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