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Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms

Published in arXiv (Cornell University) • Jun 24, 2015
Authors:
Yuchen Zhang
,
Michael I. Jordan

Abstract

Stochastic algorithms are efficient approaches to solving machine learning and optimization problems. In this paper, we propose a general framework called Splash for parallelizing stochastic algorithms on multi-node distributed systems. Splash consists of a programming interface and an execution eng...

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