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Workshop
:
Machine Learning in HPC Environments
Event Type
Workshop
Tags
Deep Learning
Machine Learning
Registration Categories
W
TimeMonday, November 12th9:00am - 5:30pm CST
LocationD167/174
Presentations
9:00am - 9:01am CSTIntroduction - Machine Learning in HPC Environments
9:01am - 9:10am CSTWorkshop Overview
9:10am - 10:00am CSTMorning Keynote – Azalia Mirhoseini (Google)
10:00am - 10:30am CSTWorkshop Morning Break
10:30am - 11:00am CSTCommunication-Efficient Parallelization Strategy for Deep Convolutional Neural Network Training
Machine Learning
11:00am - 11:30am CSTLarge-Scale Clustering Using MPI-Based Canopy
Author/Presenter
Machine Learning
11:30am - 12:00pm CSTAutomated Labeling of Electron Microscopy Images Using Deep Learning
Machine Learning
12:00pm - 12:30pm CSTScaling Deep Learning for Cancer with Advanced Workflow Storage Integration
Machine Learning
12:30pm - 2:00pm CSTWorkshop Lunch (on your own)
2:00pm - 2:30pm CSTOn Adam-Trained Models and a Parallel Method to Improve the Generalization Performance
Author/Presenters
Machine Learning
2:30pm - 3:00pm CSTAluminum: An Asynchronous, GPU-Aware Communication Library Optimized for Large-Scale Training of Deep Neural Networks on HPC Systems
Machine Learning
3:00pm - 3:30pm CSTWorkshop Afternoon Break
3:30pm - 3:40pm CSTWorkshop Overview
3:40pm - 4:30pm CSTAfternoon Keynote - Robinson Pino (DOE ASCR)
Presenter
4:30pm - 5:00pm CSTOptimizing Machine Learning on Apache Spark in HPC Environments
Machine Learning
5:00pm - 5:30pm CSTLarge Minibatch Training on Supercomputers with Improved Accuracy and Reduced Time to Train
Machine Learning
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