25 citations · 29 across the 5 of their papers we have counts for
4 papers · 1 filter
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…
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…
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability
Avisek Naug, Antonio Guillen, Ricardo Luna Gutiérrez +8
The increasing global emphasis on sustainability and reducing carbon emissions is pushing governments and corporations to rethink their approach to data center design and operation…
Deep Apprenticeship Learning for Playing Games
Dejan Markovikj
In the last decade, deep learning has achieved great success in machine learning tasks where the input data is represented with different levels of abstractions. Driven by the rece…