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ORCIDNinad Hogade
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2020 – today
- 2024
[j6]Pedro Bruel
, Sai Rahul Chalamalasetti, Aditya Dhakal, Eitan Frachtenberg, Ninad Hogade, Rolando Pablo Hong Enriquez, Alok Mishra, Dejan S. Milojicic, Pavana Prakash, Gourav Rattihalli:
Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows. Computer 57(1): 136-144 (2024)- [j5]Rolando P. Hong Enriquez, Rosa M. Badia, Barbara M. Chapman, Kirk Bresniker, Scott Pakin, Alok Mishra, Pedro Bruel, Aditya Dhakal, Gourav Rattihalli, Ninad Hogade, Eitan Frachtenberg, Dejan S. Milojicic:
Quantum optimization algorithms: Energetic implications. Concurr. Comput. Pract. Exp. 36(16) (2024) - [c4]Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster:
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies. IPDPS (Workshops) 2024: 1175-1177 - [i6]Ninad Hogade, Sudeep Pasricha:
Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers. CoRR abs/2404.01459 (2024) - [i5]Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster:
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS. CoRR abs/2406.17710 (2024) - [i4]Sirui Qi, Hayden Moore, Ninad Hogade, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha:
CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing. CoRR abs/2409.00550 (2024) - [i3]Sirui Qi, Hayden Moore, Ninad Hogade, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha:
A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management. CoRR abs/2410.11875 (2024) - 2023
- [j4]Cullen E. Bash, Ninad Hogade, Dejan S. Milojicic, Gourav Rattihalli, Chandrakant D. Patel:
Sustainability: Fundamentals-Based Approach to Paying It Forward. Computer 56(1): 125-132 (2023) - [j3]Ninad Hogade, Sudeep Pasricha:
A Survey on Machine Learning for Geo-Distributed Cloud Data Center Managements. IEEE Trans. Sustain. Comput. 8(1): 15-31 (2023) - [c3]Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Eitan Frachtenberg, Rolando P. Hong Enriquez, Pedro Bruel, Alok Mishra, Dejan S. Milojicic:
Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling. CLOUD 2023: 35-44 - [c2]Tobias Pfandzelter, Aditya Dhakal, Eitan Frachtenberg, Sai Rahul Chalamalasetti, Darel Emmot, Ninad Hogade, Rolando Pablo Hong Enriquez, Gourav Rattihalli, David Bermbach, Dejan S. Milojicic:
Kernel-as-a-Service: A Serverless Programming Model for Heterogeneous Hardware Accelerators. Middleware 2023: 192-206 - 2022
- [j2]Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel:
Energy and Network Aware Workload Management for Geographically Distributed Data Centers. IEEE Trans. Sustain. Comput. 7(2): 400-413 (2022) - [i2]Ninad Hogade, Sudeep Pasricha:
A Survey on Machine Learning for Geo-Distributed Cloud Data Center Management. CoRR abs/2205.08072 (2022) - 2021
- [i1]Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel:
Energy and Network Aware Workload Management for Geographically Distributed Data Centers. CoRR abs/2106.00066 (2021)
2010 – 2019
- 2019
- [c1]Sudeep Pasricha, Ninad Hogade, Howard Jay Siegel, Anthony A. Maciejewski:
Green Computing with Geo-Distributed Heterogeneous Data Centers. IGSC 2019: 1-6 - 2018
- [j1]Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel, Anthony A. Maciejewski, Mark A. Oxley, Eric Jonardi:
Minimizing Energy Costs for Geographically Distributed Heterogeneous Data Centers. IEEE Trans. Sustain. Comput. 3(4): 318-331 (2018)
Coauthor Index
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last updated on 2024-11-25 23:43 CET by the dblp team
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