Workshop: Machine Learning in HPC Environments
Event TypeWorkshop
Registration Categories
Deep Learning
Machine Learning
TimeMonday, November 12th9am - 5:30pm
9:00am - 9:01amIntroduction - Machine Learning in HPC Environments
9:01am - 9:10amWorkshop Overview
9:10am - 10:00amMorning Keynote – Azalia Mirhoseini (Google)
10:00am - 10:30amWorkshop Morning Break
10:30am - 11:00amCommunication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training
Machine Learning
11:00am - 11:30amLarge-Scale Clustering Using MPI-Based Canopy
Machine Learning
11:30am - 12:00pmAutomated Labeling of Electron Microscopy Images Using Deep Learning
Machine Learning
12:00pm - 12:30pmScaling Deep Learning for Cancer with Advanced Workflow Storage Integration
Machine Learning
12:30pm - 2:00pmWorkshop Lunch (on your own)
2:00pm - 2:30pmOn Adam-Trained Models and a Parallel Method to Improve the Generalization Performance
Machine Learning
2:30pm - 3:00pmAluminum: An Asynchronous, GPU-Aware Communication Library Optimized for Large-Scale Training of Deep Neural Networks on HPC Systems
Machine Learning
3:00pm - 3:30pmWorkshop Afternoon Break
3:30pm - 3:40pmWorkshop Overview
3:40pm - 4:30pmAfternoon Keynote - Robinson Pino (DOE ASCR)
4:30pm - 5:00pmOptimizing Machine Learning on Apache Spark in HPC Environments
Machine Learning
5:00pm - 5:30pmLarge Minibatch Training on Supercomputers with Improved Accuracy and Reduced Time to Train
Machine Learning
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