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stat.ML2014★ 15 cited
Primitives for Dynamic Big Model Parallelism
Seunghak Lee, Jin Kyu Kim, Xun Zheng +3
When training large machine learning models with many variables or parameters, a single machine is often inadequate since the model may be too large to fit in memory, while trainin…
stat.ML2013
Structure-Aware Dynamic Scheduler for Parallel Machine Learning
Seunghak Lee, Jin Kyu Kim, Qirong Ho +2
Training large machine learning (ML) models with many variables or parameters can take a long time if one employs sequential procedures even with stochastic updates. A natural solu…