1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2025
TOAST: Fast and scalable auto-partitioning based on principled static analysis
Sami Alabed, Dominik Grewe, Norman Alexander Rink +5
Partitioning large machine learning models across distributed accelerator systems is a complex process, requiring a series of interdependent decisions that are further complicated…
cs.DC2022★ 1 cited
Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR
Sami Alabed, Dominik Grewe, Juliana Franco +6
Large neural network models are commonly trained through a combination of advanced parallelism strategies in a single program, multiple data (SPMD) paradigm. For example, training…