42 citations · 89 across the 8 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…
math.OC2021★ 6 cited
Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs
Nicolas Sonnerat, Pengming Wang, Ira Ktena +2
Large Neighborhood Search (LNS) is a combinatorial optimization heuristic that starts with an assignment of values for the variables to be optimized, and iteratively improves it by…