RL-based selection (Q-Learn and SARSA) can match or approach an oracle's scheduling choices in OpenMP, but only after 144 exploration steps, and the reward function and expert chunk parameter largely determine whether it pays off.
Adaptive Factoring: A Dynamic Scheduling Method Tuned to the Rate of Weight Changes
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.DC 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
A Comparative Study of OpenMP Scheduling Algorithm Selection Strategies
RL-based selection (Q-Learn and SARSA) can match or approach an oracle's scheduling choices in OpenMP, but only after 144 exploration steps, and the reward function and expert chunk parameter largely determine whether it pays off.