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cs.LG2025

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…

cs.LG2025

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…

cs.LG2025

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…

cs.LG2025

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…

cs.LG2025

SustainDC: Benchmarking for Sustainable Data Center Control

Avisek Naug, Antonio Guillen, Ricardo Luna +8

Machine learning has driven an exponential increase in computational demand, leading to massive data centers that consume significant amounts of energy and contribute to climate ch…

cs.LG2025

Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion Filters

Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi +5

We present a Reinforcement Learning Platform for Adversarial Black-box untargeted and targeted attacks, RLAB, that allows users to select from various distortion filters to create…