Search Results for author: Stefan Hadjis

Found 3 papers, 3 papers with code

Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs

1 code implementation14 Jun 2016 Stefan Hadjis, Ce Zhang, Ioannis Mitliagkas, Dan Iter, Christopher Ré

Given a specification of a convolutional neural network, our goal is to minimize the time to train this model on a cluster of commodity CPUs and GPUs.

Asynchrony begets Momentum, with an Application to Deep Learning

3 code implementations31 May 2016 Ioannis Mitliagkas, Ce Zhang, Stefan Hadjis, Christopher Ré

Since asynchronous methods have better hardware efficiency, this result may shed light on when asynchronous execution is more efficient for deep learning systems.

Caffe con Troll: Shallow Ideas to Speed Up Deep Learning

1 code implementation16 Apr 2015 Stefan Hadjis, Firas Abuzaid, Ce Zhang, Christopher Ré

We present Caffe con Troll (CcT), a fully compatible end-to-end version of the popular framework Caffe with rebuilt internals.

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