STRADS: a distributed framework for scheduled model parallel machine learning

EuroSys, 2016.

Cited by: 70|Views110
EI

Abstract:

Machine learning (ML) algorithms are commonly applied to big data, using distributed systems that partition the data across machines and allow each machine to read and update all ML model parameters --- a strategy known as data parallelism. An alternative and complimentary strategy, model parallelism, partitions the model parameters for n...More

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