Proceedings of the Machine Learning on HPC Environments - MLHPC'17
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9781450351379

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Optimizing Convolutional Neural Networks for Cloud Detection

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146352 ◽

2017 ◽

Cited By ~ 4

Author(s):

Travis Johnston ◽

Steven R. Young ◽

David Hughes ◽

Robert M. Patton ◽

Devin White

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Cloud Detection

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Evolving Deep Networks Using HPC

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146355 ◽

2017 ◽

Cited By ~ 16

Author(s):

Steven R. Young ◽

Derek C. Rose ◽

Travis Johnston ◽

William T. Heller ◽

Thomas P. Karnowski ◽

...

Keyword(s):

Deep Networks

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BlazingText

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146354 ◽

2017 ◽

Cited By ~ 5

Author(s):

Saurabh Gupta ◽

Vineet Khare

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TensorQuant

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146348 ◽

2017 ◽

Cited By ~ 3

Author(s):

Dominik Marek Loroch ◽

Franz-Josef Pfreundt ◽

Norbert Wehn ◽

Janis Keuper

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An In-depth Performance Characterization of CPU- and GPU-based DNN Training on Modern Architectures

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146356 ◽

2017 ◽

Cited By ~ 12

Author(s):

Ammar Ahmad Awan ◽

Hari Subramoni ◽

Dhabaleswar K. Panda

Keyword(s):

Performance Characterization

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An Efficient Task-based All-Reduce for Machine Learning Applications

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146350 ◽

2017 ◽

Cited By ~ 2

Author(s):

Zhenyu Li ◽

James Davis ◽

Stephen Jarvis

Keyword(s):

Machine Learning ◽

Machine Learning Applications

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Designing a Synchronization-reducing Clustering Method on Manycores

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146357 ◽

2017 ◽

Cited By ~ 2

Author(s):

Weijian Zheng ◽

Fengguang Song ◽

Lan Lin

Keyword(s):

Clustering Method

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Towards Scalable Parallel Training of Deep Neural Networks

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146353 ◽

2017 ◽

Cited By ~ 1

Author(s):

Sam Adé Jacobs ◽

Nikoli Dryden ◽

Roger Pearce ◽

Brian Van Essen

Keyword(s):

Neural Networks ◽

Deep Neural Networks

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Training distributed deep recurrent neural networks with mixed precision on GPU clusters

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146358 ◽

2017 ◽

Cited By ~ 4

Author(s):

Alexey Svyatkovskiy ◽

Julian Kates-Harbeck ◽

William Tang

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Mixed Precision ◽

Gpu Clusters

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Accelerating deep neural network learning for speech recognition on a cluster of GPUs

Proceedings of the Machine Learning on HPC Environments - MLHPC'17 ◽

10.1145/3146347.3146351 ◽

2017 ◽

Cited By ~ 3

Author(s):

Guojing Cong ◽

Brian Kingsbury ◽

Soumyadip Gosh ◽

George Saon ◽

Fan Zhou

Keyword(s):

Neural Network ◽

Speech Recognition ◽

Deep Neural Network ◽

Neural Network Learning ◽

Network Learning

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Proceedings of the Machine Learning on HPC Environments - MLHPC'17Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By ACM Press

Optimizing Convolutional Neural Networks for Cloud Detection

Evolving Deep Networks Using HPC

BlazingText

TensorQuant

An In-depth Performance Characterization of CPU- and GPU-based DNN Training on Modern Architectures

An Efficient Task-based All-Reduce for Machine Learning Applications

Designing a Synchronization-reducing Clustering Method on Manycores

Towards Scalable Parallel Training of Deep Neural Networks

Training distributed deep recurrent neural networks with mixed precision on GPU clusters

Accelerating deep neural network learning for speech recognition on a cluster of GPUs

Proceedings of the Machine Learning on HPC Environments - MLHPC'17
Latest Publications