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Title: Livermore Big Artificial Neural Network Toolkit

LBANN is a toolkit that is designed to train artificial neural networks efficiently on high performance computing architectures. It is optimized to take advantages of key High Performance Computing features to accelerate neural network training. Specifically it is optimized for low-latency, high bandwidth interconnects, node-local NVRAM, node-local GPU accelerators, and high bandwidth parallel file systems. It is built on top of the open source Elemental distributed-memory dense and spars-direct linear algebra and optimization library that is released under the BSD license. The algorithms contained within LBANN are drawn from the academic literature and implemented to work within a distributed-memory framework.
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  1. Lawrence Livermore National Laboroatory
Publication Date:
OSTI Identifier:
Report Number(s):
LBANN V.0.9; 004857MLTPL00
DOE Contract Number:
Resource Type:
Software Revision:
Software Package Number:
Software CPU:
Open Source:
Source Code Available:
Research Org:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC)
Contributing Orgs:
Lawrence Livermore National Laboratory
Country of Publication:
United States

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