16 citations · 18 across the 4 of their papers we have counts for
4 papers
RLFlow: Optimising Neural Network Subgraph Transformation with World Models
Sean Parker, Sami Alabed, Eiko Yoneki
Training deep learning models takes an extremely long execution time and consumes large amounts of computing resources. At the same time, recent research proposed systems and compi…
BoGraph: Structured Bayesian Optimization From Logs for Expensive Systems with Many Parameters
Sami Alabed, Eiko Yoneki
Current auto-tuning frameworks struggle with tuning computer systems configurations due to their large parameter space, complex interdependencies, and high evaluation cost. Utilizi…
High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB
Sami Alabed, Eiko Yoneki
RocksDB is a general-purpose embedded key-value store used in multiple different settings. Its versatility comes at the cost of complex tuning configurations. This paper investigat…
RLCache: Automated Cache Management Using Reinforcement Learning
Sami Alabed
This study investigates the use of reinforcement learning to guide a general purpose cache manager decisions. Cache managers directly impact the overall performance of computer sys…