AutoThread uses a physics-informed neural network plus online fine-tuning to set the thread count for discrete-event simulation workloads, delivering up to 83.8% lower runtime than static and adaptive baselines.
Adapt-t: An adaptive algorithm for auto- tuning worker thread pool size in application servers
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Hybrid-Adaptive Thread Tuning to Mitigate Simulation Execution Bottlenecks in High-Performance Reinforcement Learning Inference
AutoThread uses a physics-informed neural network plus online fine-tuning to set the thread count for discrete-event simulation workloads, delivering up to 83.8% lower runtime than static and adaptive baselines.