Ninad Hogade

23 papers A 1B 1Journal 14Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers.
IEEE Trans. Sustain. Comput.
Ninad Hogade, Sudeep Pasricha
2025 — conf
Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters.
ACM Great Lakes Symposium on VLSI
Hayden Moore, Sirui Qi, Ninad Hogade, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha
2025 J jnl
Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters.
CoRR
Hayden Moore, Sirui Qi, Ninad Hogade, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha
2024 — conf
A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management.
IGSC
Sirui Qi, Hayden Moore, Ninad Hogade, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha
2024 J jnl
A Framework for SLO, Carbon, and Wastewater-Aware Sustainable FaaS Cloud Platform Management.
CoRR
Sirui Qi, Hayden Moore, Ninad Hogade, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha
2024 J jnl
CASA: A Framework for SLO and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing.
CoRR
Sirui Qi, Hayden Moore, Ninad Hogade, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha
2024 — conf
CASA: A Framework for SLO- and Carbon-Aware Autoscaling and Scheduling in Serverless Cloud Computing.
IGSC
Sirui Qi, Hayden Moore, Ninad Hogade, Dejan S. Milojicic, Cullen E. Bash, Sudeep Pasricha
2024 — conf
DyTwin: Federated Adaptive Digital Twins for Data Centers - Visualization and Anomaly Detection.
SC Workshops
Ebad Taheri, Pedro Bruel, Pavana Prakash, Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Rolando P. Hong Enriquez, Torsten Wilde, Leo Popokh, Dejan S. Milojicic, Cullen E. Bash
2024 — conf
Enhancing Energy Efficiency with Multi-Site Scheduling Strategies.
IPDPS (Workshops)
Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
2024 J jnl
Game-Theoretic Deep Reinforcement Learning to Minimize Carbon Emissions and Energy Costs for AI Inference Workloads in Geo-Distributed Data Centers.
CoRR
Ninad Hogade, Sudeep Pasricha
2024 — conf
Granularity- and Interference-Aware GPU Sharing with MPS.
SC Workshops
Alex Weaver, Krishna Kavi, Dejan S. Milojicic, Rolando Pablo Hong Enriquez, Ninad Hogade, Alok Mishra, Gayatri Mehta
2024 J jnl
GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS.
CoRR
Alok Kamatar, Valérie Hayot-Sasson, Yadu N. Babuji, André Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
2024 J jnl
Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows.
Computer
Pedro Bruel, Sai Rahul Chalamalasetti, Aditya Dhakal, Eitan Frachtenberg, Ninad Hogade, Rolando Pablo Hong Enriquez, Alok Mishra, Dejan S. Milojicic, Pavana Prakash, Gourav Rattihalli
2024 J jnl
Quantum optimization algorithms: Energetic implications.
Concurr. Comput. Pract. Exp.
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
2023 J jnl
A Survey on Machine Learning for Geo-Distributed Cloud Data Center Managements.
IEEE Trans. Sustain. Comput.
Ninad Hogade, Sudeep Pasricha
2023 B conf
Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling.
CLOUD
Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Eitan Frachtenberg, Rolando P. Hong Enriquez, Pedro Bruel, Alok Mishra, Dejan S. Milojicic
2023 A conf
Kernel-as-a-Service: A Serverless Programming Model for Heterogeneous Hardware Accelerators.
Middleware
Tobias Pfandzelter, Aditya Dhakal, Eitan Frachtenberg, Sai Rahul Chalamalasetti, Darel Emmot, Ninad Hogade, Rolando Pablo Hong Enriquez, Gourav Rattihalli, David Bermbach, Dejan S. Milojicic
2023 J jnl
Sustainability: Fundamentals-Based Approach to Paying It Forward.
Computer
Cullen E. Bash, Ninad Hogade, Dejan S. Milojicic, Gourav Rattihalli, Chandrakant D. Patel
2022 J jnl
A Survey on Machine Learning for Geo-Distributed Cloud Data Center Management.
CoRR
Ninad Hogade, Sudeep Pasricha
2022 J jnl
Energy and Network Aware Workload Management for Geographically Distributed Data Centers.
IEEE Trans. Sustain. Comput.
Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel
2021 J jnl
Energy and Network Aware Workload Management for Geographically Distributed Data Centers.
CoRR
Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel
2019 — conf
Green Computing with Geo-Distributed Heterogeneous Data Centers.
IGSC
Sudeep Pasricha, Ninad Hogade, Howard Jay Siegel, Anthony A. Maciejewski
2018 J jnl
Minimizing Energy Costs for Geographically Distributed Heterogeneous Data Centers.
IEEE Trans. Sustain. Comput.
Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel, Anthony A. Maciejewski, Mark A. Oxley, Eric Jonardi