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Session

Paper: Machine Learning Optimization
Session Chair
Brian C. Van Essen
Lawrence Livermore National Laboratory
Event TypePaper
Registration Categories
TP
Tags
Applications
Data Management
Deep Learning
GPUs
Machine Learning
Performance
Scalable Computing
TimeWednesday, 20 November 201910:30am - 12pm
Location401-402-403-404
Presentations
10:30am - 11:00amPruneTrain: Fast Neural Network Training by Dynamic Sparse Model Reconfiguration
Authors
Sangkug Lym
Esha Choukse
Siavash Zangeneh
Wei Wen
Sujay Sanghavi
Mattan Erez
BSP Finalist
11:00am - 11:30amScalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research
Authors
Prasanna Balaprakash
Romain Egele
Misha Salim
Stefan Wild
Venkatram Vishwanath
Fangfang Xia
Tom Brettin
Rick Stevens
11:30am - 12:00pmBSTC: A Novel Binarized-Soft-Tensor-Core Design for Accelerating Bit-Based Approximated Neural Nets
Authors
Ang Li
Tong Geng
Tianqi Wang
Martin Herbordt
Shuaiwen Song
Kevin Barker
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