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Paper detail

MLI: An API for Distributed Machine Learning

MLI is an Application Programming Interface designed to address the challenges of building Machine Learn- ing algorithms in a distributed setting based on data-centric computing. Its primary goal is to simplify the development of high-performance, scalable, distributed algorithms. Our initial results show that, relative to existing systems, this interface can be used to build distributed implementations of a wide variety of common Machine Learning algorithms with minimal complexity and highly competitive performance and scalability.

preprint2013arXivOpen access
Evan R. SparksAmeet TalwalkarVirginia SmithJey KottalamXinghao PanJoseph GonzalezMichael J. FranklinMichael I. JordanTim Kraska
Machine LearningDistributed, Parallel, and Cluster Computing
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Evan R. SparksAmeet TalwalkarVirginia SmithJey KottalamXinghao PanJoseph GonzalezMichael J. FranklinMichael I. JordanTim Kraska

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