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2018 IEEE/ACM Machine Learning in HPC Environments (MLHPC)

Nov. 12 2018 to Nov. 12 2018

Dallas, TX, USA

ISBN: 978-1-7281-0180-4

Table of Contents

Proceedings of MLHPC 2018: Machine Learning in HPC EnvironmentsFreely available from IEEE.pp. 1-1
CopyrightFreely available from IEEE.pp. 1-1
Table of ContentsFreely available from IEEE.pp. 1-2
Aluminum: An Asynchronous, GPU-Aware Communication Library Optimized for Large-Scale Training of Deep Neural Networks on HPC SystemsFull-text access may be available. Sign in or learn about subscription options.pp. 1-13
by Nikoli Dryden, Naoya Maruyama, Tim Moon, Tom Benson, Andy Yoo, Marc Snir, Brian Van Essen
Auto-Tuning TensorFlow Threading Model for CPU BackendFull-text access may be available. Sign in or learn about subscription options.pp. 14-25
by Niranjan Hasabnis
Automated Labeling of Electron Microscopy Images Using Deep LearningFull-text access may be available. Sign in or learn about subscription options.pp. 26-36
by Gunther H. Weber, Colin Ophus, Lavanya Ramakrishnan
Automated Parallel Data Processing Engine with Application to Large-Scale Feature ExtractionFull-text access may be available. Sign in or learn about subscription options.pp. 37-46
by Xin Xing, Bin Dong, Jonathan Ajo-Franklin, Kesheng Wu
Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network TrainingFull-text access may be available. Sign in or learn about subscription options.pp. 47-56
by Sunwoo Lee, Ankit Agrawal, Prasanna Balaprakash, Alok Choudhary, Wei-Keng Liao
Deep Learning Evolutionary Optimization for Regression of Rotorcraft Vibrational SpectraFull-text access may be available. Sign in or learn about subscription options.pp. 57-66
by Daniel Martinez, Wesley Brewer, Gregory Behm, Andrew Strelzoff, Andrew Wilson, Daniel Wade
Large Minibatch Training on Supercomputers with Improved Accuracy and Reduced Time to TrainFull-text access may be available. Sign in or learn about subscription options.pp. 67-76
by Valeriu Codreanu, Damian Podareanu, Vikram Saletore
Large-Scale Clustering Using MPI-Based CanopyFull-text access may be available. Sign in or learn about subscription options.pp. 77-84
by Jacek Burys, Ahsan Javed Awan, Thomas Heinis
On Adam Trained Models and a Parallel Method to Improve the Generalization PerformanceFull-text access may be available. Sign in or learn about subscription options.pp. 85-94
by Guojing Cong, Luca Buratti
Optimizing Machine Learning on Apache Spark in HPC EnvironmentsFull-text access may be available. Sign in or learn about subscription options.pp. 95-105
by Zhenyu Li, James Davis, Stephen A. Jarvis
Ramifications of Evolving Misbehaving Convolutional Neural Network Kernel and Batch SizesFull-text access may be available. Sign in or learn about subscription options.pp. 106-113
by Mark Coletti, Dalton Lunga, Anne Berres, Jibonananda Sanyal, Amy Rose
Scaling Deep Learning for Cancer with Advanced Workflow Storage IntegrationFull-text access may be available. Sign in or learn about subscription options.pp. 114-123
by Justin M. Wozniak, Philip E. Davis, Tong Shu, Jonathan Ozik, Nicholson Collier, Manish Parashar, Ian Foster, Thomas Brettin, Rick Stevens
Training Speech Recognition Models on HPC InfrastructureFull-text access may be available. Sign in or learn about subscription options.pp. 124-132
by Deepthi Karkada, Vikram A. Saletore
Author IndexFreely available from IEEE.pp. 1-1
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