SCHEDULE: NOV 15-20, 2015

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Large Scale Artificial Neural Network Training Using MultiGPUs

SESSION: Regular & ACM Student Research Competition Poster Reception

EVENT TYPE: Posters, Receptions, ACM Student Research Competition

EVENT TAG(S): HPC Beginner Friendly, Regular Poster

TIME: 5:15PM - 7:00PM

SESSION CHAIR(S): Michela Becchi, Manish Parashar, Dorian C. Arnold

AUTHOR(S):Linnan Wang, Wei Wu, Alex Zhang, Jianxiong Xiao, Yi Yang

ROOM:Level 4 - Lobby

ABSTRACT:

This paper describes a method for accelerating large scale Artificial Neural Networks (ANN) training using multi-GPUs by reducing the forward and backward passes to matrix multiplication. We propose an out-of-core multi-GPU matrix multiplication and integrate the algorithm with ANN. The experiments demonstrate that the proposed algorithm can achieve linear speedup with multiple inhomogeneous GPUs.

Chair/Author Details:

Michela Becchi, Manish Parashar, Dorian C. Arnold (Chair) - University of Missouri|Rutgers University|University of New Mexico|

Linnan Wang - Georgia Institute of Technology

Wei Wu - University of Tennessee, Knoxville

Alex Zhang - Rutgers University New Brunswick

Jianxiong Xiao - Princeton University

Yi Yang - NEC Laboratories America

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