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Tamara Norman
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Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR


Oct 07, 2022
Sami Alabed, Dominik Grewe, Juliana Franco, Bart Chrzaszcz, Tom Natan, Tamara Norman, Norman A. Rink, Dimitrios Vytiniotis, Michael Schaarschmidt

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Automap: Towards Ergonomic Automated Parallelism for ML Models


Dec 06, 2021
Michael Schaarschmidt, Dominik Grewe, Dimitrios Vytiniotis, Adam Paszke, Georg Stefan Schmid, Tamara Norman, James Molloy, Jonathan Godwin, Norman Alexander Rink, Vinod Nair, Dan Belov

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* Workshop on ML for Systems at NeurIPS 2021 
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Synthesizing Optimal Parallelism Placement and Reduction Strategies on Hierarchical Systems for Deep Learning


Oct 20, 2021
Ningning Xie, Tamara Norman, Dominik Grewe, Dimitrios Vytiniotis

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* Submitted to the 5th MLSys Conference 
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Acme: A Research Framework for Distributed Reinforcement Learning


Jun 01, 2020
Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alex Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Caglar Gulcehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas

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