Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Markovikj, Dejan"'
Autor:
Naug, Avisek, Guillen, Antonio, Luna, Ricardo, Gundecha, Vineet, Rengarajan, Desik, Ghorbanpour, Sahand, Mousavi, Sajad, Babu, Ashwin Ramesh, Markovikj, Dejan, Kashyap, Lekhapriya D, Sarkar, Soumyendu
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 change. This makes sustainable data center control a priority. In this p
Externí odkaz:
http://arxiv.org/abs/2408.07841
Autor:
Sarkar, Soumyendu, Naug, Avisek, Luna, Ricardo, Guillen, Antonio, Gundecha, Vineet, Ghorbanpour, Sahand, Mousavi, Sajad, Markovikj, Dejan, Babu, Ashwin Ramesh
Publikováno v:
2024 Proceedings of the AAAI Conference on Artificial Intelligence
As machine learning workloads significantly increase energy consumption, sustainable data centers with low carbon emissions are becoming a top priority for governments and corporations worldwide. This requires a paradigm shift in optimizing power con
Externí odkaz:
http://arxiv.org/abs/2403.14092
Autor:
Naug, Avisek, Guillen, Antonio, Gutiérrez, Ricardo Luna, Gundecha, Vineet, Markovikj, Dejan, Kashyap, Lekhapriya Dheeraj, Krause, Lorenz, Ghorbanpour, Sahand, Mousavi, Sajad, Babu, Ashwin Ramesh, Sarkar, Soumyendu
Publikováno v:
2023 BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
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. Given their high energy consumption and exponentially large computat
Externí odkaz:
http://arxiv.org/abs/2310.03906
Autor:
Markovikj, Dejan
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 recent research in reinforcement learning using deep neural networks, we e
Externí odkaz:
http://arxiv.org/abs/2205.07959