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Found 3 papers, 2 papers with code
NumS: Scalable Array Programming for the Cloud
LSHS is a local search method which optimizes operator placement by minimizing maximum memory and network load on any given node within a distributed system.
Variance Reduction with Sparse Gradients
Variance reduction methods such as SVRG and SpiderBoost use a mixture of large and small batch gradients to reduce the variance of stochastic gradients.
Ray: A Distributed Framework for Emerging AI Applications
To meet the performance requirements, Ray employs a distributed scheduler and a distributed and fault-tolerant store to manage the system's control state.
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