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Machine Learning on GPUs using Torch7

An introduction to GPU computing from the machine learning perspective. I presented a survey of three different libraries: Theano, Torch, and Tensorflow. The first two libraries have backends both for CPUs and GPUs. TensorFlow has a more flexible backend, and also allows distributed computing on clusters. The talk also included a discussion about throughput and arithmetic intensity, inspired by Adam Coates lecture at the Deep Learning Summer School 2015.

Talk, Chalmers GPU Computing Workshop, 2015-11-12

Olof Mogren, PhD, RISE Research institutes of Sweden. Follow me on Mastodon.