Sami Alabed

According to our database, Sami Alabed authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PartIR: Composing SPMD Partitioning Strategies for Machine Learning.

Sami Alabed, Bart Chrzaszcz, Juliana Franco, Dominik Grewe, Dougal Maclaurin, James Molloy, Tom Natan, Tamara Norman, Xiaoyue Pan, Adam Paszke, Norman A. Rink, Michael Schaarschmidt, Timur Sitdikov, Agnieszka Swietlik, Dimitrios Vytiniotis, Joel Wee

CoRR, 2024

2022

Automatic Discovery of Composite SPMD Partitioning Strategies in PartIR.

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

CoRR, 2022

RLFlow: Optimising Neural Network Subgraph Transformation with World Models.

Sean Parker, Sami Alabed, Eiko Yoneki

CoRR, 2022

BoGraph: structured bayesian optimization from logs for expensive systems with many parameters.

Sami Alabed, Eiko Yoneki

Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022

2021

BoGraph: Structured Bayesian Optimization From Logs for Systems with High-dimensional Parameter Space.

Sami Alabed, Eiko Yoneki

CoRR, 2021

High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB.

Sami Alabed, Eiko Yoneki

Proceedings of the EuroMLSys@EuroSys 2021, 2021

2019

RLCache: Automated Cache Management Using Reinforcement Learning.

Sami Alabed

CoRR, 2019