21 citations · 54 across the 11 of their papers we have counts for
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cs.LG2021★ 5 cited
Automap: Towards Ergonomic Automated Parallelism for ML Models
Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis +8
The rapid rise in demand for training large neural network architectures has brought into focus the need for partitioning strategies, for example by using data, model, or pipeline…
cs.DC2021★ 1 cited
Memory-efficient array redistribution through portable collective communication
Norman A. Rink, Adam Paszke, Dimitrios Vytiniotis +1
Modern large-scale deep learning workloads highlight the need for parallel execution across many devices in order to fit model data into hardware accelerator memories. In these set…