RLCache: Automated Cache Management Using Reinforcement Learning. - Sami Alabed (CoRR, 2019)

High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB. - Sami Alabed; Eiko Yoneki (EuroMLSys@EuroSys, 2021)

BoGraph: Structured Bayesian Optimization From Logs for Systems with High-dimensional Parameter Space. - Sami Alabed; Eiko Yoneki (CoRR, 2021)

BoGraph: structured bayesian optimization from logs for expensive systems with many parameters. - Sami Alabed; Eiko Yoneki (EuroMLSys@EuroSys, 2022)

RLFlow: Optimising Neural Network Subgraph Transformation with World Models. - Sean Parker; Sami Alabed; Eiko Yoneki (CoRR, 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)

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; et al. (CoRR, 2024)

PartIR: Composing SPMD Partitioning Strategies for Machine Learning. - Sami Alabed; Daniel Belov; Bart Chrzaszcz; Juliana Franco; Dominik Grewe; Dougal Maclaurin; James Molloy; Tom Natan; Tamara Norman; Xiaoyue Pan; Adam Paszke; Norman A. Rink; et al. (ASPLOS (1), 2025)