Ninad Hogade

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 14

Top Topics

Distributed Heterogeneous

Machine Learning

Business Continuity

Top Venues

IEEE Trans. Sustain. Comput.

Publications

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)
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 (2024)
Pedro Bruel, Sai Rahul Chalamalasetti, Aditya Dhakal, Eitan Frachtenberg, Ninad Hogade, Rolando Pablo Hong Enriquez, Alok Mishra, Dejan Milojicic, Pavana Prakash, Gourav Rattihalli
Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows. Computer 57 (1) (2024)
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 (2024)
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)
Cullen E. Bash, Ninad Hogade, Dejan S. Milojicic, Gourav Rattihalli, Chandrakant D. Patel
Sustainability: Fundamentals-Based Approach to Paying It Forward. Computer 56 (1) (2023)
Ninad Hogade, Sudeep Pasricha
A Survey on Machine Learning for Geo-Distributed Cloud Data Center Managements. IEEE Trans. Sustain. Comput. 8 (1) (2023)
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)
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)
Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel
Energy and Network Aware Workload Management for Geographically Distributed Data Centers. IEEE Trans. Sustain. Comput. 7 (2) (2022)
Ninad Hogade, Sudeep Pasricha
A Survey on Machine Learning for Geo-Distributed Cloud Data Center Management. CoRR (2022)
Ninad Hogade, Sudeep Pasricha, Howard Jay Siegel
Energy and Network Aware Workload Management for Geographically Distributed Data Centers. CoRR (2021)
Sudeep Pasricha, Ninad Hogade, Howard Jay Siegel, Anthony A. Maciejewski
Green Computing with Geo-Distributed Heterogeneous Data Centers. IGSC (2019)
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) (2018)