Gourav Rattihalli

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Response Surface

Scientific Computing

Service Platform

Optimization Algorithm

Top Venues

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)
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)
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)
Aditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic
Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform. SC Workshops (2023)
Gourav Rattihalli, Madhusudhan Govindaraju, Devesh Tiwari
Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment. CCGRID (2019)
Gourav Rattihalli, Pankaj Saha, Madhusudhan Govindaraju, Devesh Tiwari
Two stage cluster for resource optimization with Apache Mesos. CoRR (2019)
Gourav Rattihalli, Madhusudhan Govindaraju, Hui Lu, Devesh Tiwari
Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes. CLOUD (2019)
Gourav Rattihalli
Exploring Potential for Resource Request Right-Sizing via Estimation and Container Migration in Apache Mesos. UCC Companion (2018)
Renan Delvalle, Gourav Rattihalli, Angel Beltre, Madhusudhan Govindaraju, Michael J. Lewis
Exploring the Design Space for Optimizations with Apache Aurora and Mesos. CLOUD (2016)