9 papers · 1 filter
Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy and Scientific Applications
Ricardo Luna Gutierrez, Sahand Ghorbanpour, Ejaz Rahman +5
Inertial Confinement Fusion (ICF) holds transformative promise for sustainable, near-limitless clean energy, yet remains constrained by prohibitively high costs and limited experim…
BayMOTH: Bayesian optiMizatiOn with meTa-lookahead -- a simple approacH
Rahman Ejaz, Varchas Gopalaswamy, Ricardo Luna +5
Bayesian optimization (BO) has for sequential optimization of expensive black-box functions demonstrated practicality and effectiveness in many real-world settings. Meta-Bayesian o…
Fast 3D Surrogate Modeling for Data Center Thermal Management
Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah J Carmichael +6
Reducing energy consumption and carbon emissions in data centers by enabling real-time temperature prediction is critical for sustainability and operational efficiency. Achieving t…
DCcluster-Opt: Benchmarking Dynamic Multi-Objective Optimization for Geo-Distributed Data Center Workloads
Antonio Guillen-Perez, Avisek Naug, Vineet Gundecha +8
The increasing energy demands and carbon footprint of large-scale AI require intelligent workload management in globally distributed data centers. Yet progress is limited by the ab…
LC-Opt: Benchmarking Reinforcement Learning and Agentic AI for End-to-End Liquid Cooling Optimization in Data Centers
Avisek Naug, Antonio Guillen, Vineet Kumar +7
Liquid cooling is critical for thermal management in high-density data centers with the rising AI workloads. However, machine learning-based controllers are essential to unlock gre…
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
Soumyendu Sarkar, Avisek Naug, Ricardo Luna +6
As machine learning workloads significantly increase energy consumption, sustainable data centers with low carbon emissions are becoming a top priority for governments and corporat…