8 citations · 13 across the 3 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.LG2016★ 8 cited
Learning Runtime Parameters in Computer Systems with Delayed Experience Injection
Michael Schaarschmidt, Felix Gessert, Valentin Dalibard +1
Learning effective configurations in computer systems without hand-crafting models for every parameter is a long-standing problem. This paper investigates the use of deep reinforce…