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12/11/2017
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks
Recent deep learning (DL) models have moved beyond static network archit...
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06/11/2017
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters
Deep learning models can take weeks to train on a single GPU-equipped ma...
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12/31/2015
Strategies and Principles of Distributed Machine Learning on Big Data
The rise of Big Data has led to new demands for Machine Learning (ML) sy...
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12/19/2015
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines
Deep learning (DL) has achieved notable successes in many machine learni...
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12/04/2014
LightLDA: Big Topic Models on Modest Compute Clusters
When building large-scale machine learning (ML) programs, such as big to...
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11/10/2014
Model-Parallel Inference for Big Topic Models
In real world industrial applications of topic modeling, the ability to ...
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10/29/2014
High-Performance Distributed ML at Scale through Parameter Server Consistency Models
As Machine Learning (ML) applications increase in data size and model co...
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12/30/2013
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML
In distributed ML applications, shared parameters are usually replicated...
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12/30/2013
Petuum: A New Platform for Distributed Machine Learning on Big Data
What is a systematic way to efficiently apply a wide spectrum of advance...
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12/19/2013
Structure-Aware Dynamic Scheduler for Parallel Machine Learning
Training large machine learning (ML) models with many variables or param...
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10/31/2012
Understanding the Interaction between Interests, Conversations and Friendships in Facebook
In this paper, we explore salient questions about user interests, conver...
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10/09/2010