Session - SC18

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Workshop: Machine Learning in HPC Environments

Event TypeWorkshop

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TimeMonday, November 12th9am - 5:30pm

LocationD167/174

Presentations

9:00am - 9:01am	Introduction - Machine Learning in HPC Environments Organizers Steven R. Young Robert M. Patton Janis Keuper Michael Houston
9:01am - 9:10am	Workshop Overview
9:10am - 10:00am	Morning Keynote – Azalia Mirhoseini (Google) Presenter Azalia Mirhoseini
10:00am - 10:30am	Workshop Morning Break
10:30am - 11:00am	Communication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training Author/Presenters Sunwoo Lee Ankit Agrawal Prasanna Balaprakash Alok Choudhary Wei-keng Liao	Machine Learning
11:00am - 11:30am	Large-Scale Clustering Using MPI-Based Canopy Author/Presenter Thomas Heinis	Machine Learning
11:30am - 12:00pm	Automated Labeling of Electron Microscopy Images Using Deep Learning Author/Presenters Gunther Weber Colin Ophus Lavanya Ramakrishnan	Machine Learning
12:00pm - 12:30pm	Scaling Deep Learning for Cancer with Advanced Workflow Storage Integration Author/Presenters Justin Wozniak Philip Davis Tong Shu Jonathan Ozik Nicholson Collier Manish Parashar Ian Foster Thomas Brettin Rick Stevens	Machine Learning
12:30pm - 2:00pm	Workshop Lunch (on your own)
2:00pm - 2:30pm	On Adam-Trained Models and a Parallel Method to Improve the Generalization Performance Author/Presenters Guojing Cong Luca Buratti	Machine Learning
2:30pm - 3:00pm	Aluminum: An Asynchronous, GPU-Aware Communication Library Optimized for Large-Scale Training of Deep Neural Networks on HPC Systems Author/Presenters Nikoli Dryden Naoya Maruyama Tim Moon Tom Benson Andy Yoo Marc Snir Brian Van Essen	Machine Learning
3:00pm - 3:30pm	Workshop Afternoon Break
3:30pm - 3:40pm	Workshop Overview
3:40pm - 4:30pm	Afternoon Keynote - Robinson Pino (DOE ASCR) Presenter Robinson Pino
4:30pm - 5:00pm	Optimizing Machine Learning on Apache Spark in HPC Environments Author/Presenters Zhenyu Li James Davis Stephen Jarvis	Machine Learning
5:00pm - 5:30pm	Large Minibatch Training on Supercomputers with Improved Accuracy and Reduced Time to Train Author/Presenters Valeriu Codreanu Damian Podareanu Vikram Saletore	Machine Learning