Gourav Rattihalli

I'm a Senior Research scientist at HPE Labs. I completed my Doctoral studies at Binghamton University in September 2019. I was guided by Prof. Madhusudhan Govindraju. My current interests are Resource Management, Container Management(Docker), Distributed Systems, Big Data, and Cloud Computing.

One of my dockerized benchmarks, 'DGEMM' was pulled over 100k times.

Education

  • Ph.D. Computer Science

  • Binghamton University
  • 2019

  • M.Sc. Computer Science

  • VIT University, Vellore, India
  • 2015

  • B.Sc. Mathematics, Statistics, Computer Science

  • P.C. Jabin Science College, Hubballi, India
  • 2013

Work Experiance


  • Senior Research Scientist

  • HPE Labs (HPE)
  • Current

  • Software Designer V

  • Hewlett Packard Enterprise (HPE)
  • September 2019 - May 2022

  • Cloud/Airwave Intern

  • Hewlett Packard Enterprise (HPE)
  • May 2018 - August 2018

  • Cloud Infrastructure Automation Intern

  • Autodesk
  • May 2017 - August 2017

  • Student Developer Intern

  • Google Summer of Code
  • May 2016 - August 2016

  • Application developer Intern

  • Mphasis
  • January 2015 - May 2015

Professional Work


  • Program Committee Member

  • IEEE CLOUD, 2024

  • Program Committee Member

  • IEEE International Parallel & Distributed Processing Symposium(IPDPS), 2023

  • Program Committee Member

  • IEEE CLOUD, 2023

  • Sub Reviewer

  • IEEE CLOUD, March 2018

  • Sub Reviewer

  • IEEE/ACM International Conference on Utility and Cloud Computing, September 2017

  • Sub Reviewer

  • IEEE International Parallel & Distributed Processing Symposium, November 2016

Patents

  • Efficient Key-Value Cache Management for Large Language Models

  • Patent Number: US12346252B1
  • Authors: Aditya Dhakal, Pedro H. R. Bruel, Gourav Rattihalli, Sai Rahul Chalamalasetti, Dejan S. Milojicic
  • Date Filed: April 3, 2024
  • Date Granted: July 1, 2025

  • Automated Program Conversion for Heterogeneous and FaaS Computing with Minimal Human Intervention

  • Patent Number: US12379909B2
  • Authors: Dejan S. Milojicic, Aditya Dhakal, Eitan Frachtenberg, Ninad Sanjay Hogade, Rolando Pablo Hong Enriques, Gourav Rattihalli, Tobias Pfandzelter
  • Date Filed: April 27, 2023
  • Date Granted: August 5, 2025

  • Graph-Based Representation of Data Centers to Predict Energy Consumption and Carbon Emission of the Data Centers During Operation

  • Patent Number: US20250265527A1
  • Authors: Gourav Rattihalli, Philipp Raith, Dejan S. Milojicic
  • Date Filed: February 20, 2024
  • Status: Pending

  • Distributed Sensor Tracking Acceleration for Data Center Management

  • Patent Number: US20250307019A1
  • Authors: Sai Rahul Chalamalasetti, Philipp Raith, Gourav Rattihalli, Dejan S. Milojicic, Naysen J. Robertson
  • Date Filed: April 1, 2024
  • Status: Pending

Publications

  • Serverless Graph Analytics on Multi-Instance GPU

  • Mohammad Sonji, Mohammed Baydoun, Aditya Dhakal, Gourav Rattihalli, Dejan S. Milojicic, Izzat El Hajj
  • Published in proceedings of 2025 {IEEE} International Parallel and Distributed Processing Symposium, {IPDPS} 2025 - Workshops, Milano, Italy, June 3-7, 2025, 2025 — pp. 787--794, {IEEE}
  • Link

  • An RDMA-First Object Storage System with SmartNIC Offload

  • Yu Zhu, Aditya Dhakal, Pedro Bruel, Gourav Rattihalli, Yunming Xiao, Johann Lombardi, Dejan S. Milojicic
  • Published in CoRR, 2025
  • Link

  • Serverless Computing for Dynamic HPC Workflows

  • Vijay Thurimella, Philipp Raith, Rolando P. Hong Enriquez, Anderson Andrei Da Silva, Gourav Rattihalli, Ada Gavrilovska, Dejan S. Milojicic
  • Published in proceedings of {SC24-W:} Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17-22, 2024, 2024 — pp. 2096--2103, {IEEE}
  • Link

  • Quantum optimization algorithms: Energetic implications

  • 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
  • Published in Concurr. Comput. Pract. Exp., 2024
  • Link

  • Predicting Heterogeneity and Serverless Principles of Converged High-Performance Computing, Artificial Intelligence, and Workflows

  • Pedro Bruel, Sai Rahul Chalamalasetti, Aditya Dhakal, Eitan Frachtenberg, Ninad Hogade, Rolando Pablo Hong Enriquez, Alok Mishra, Dejan S. Milojicic, Pavana Prakash, Gourav Rattihalli
  • Published in Computer, 2024 — pp. 136--144
  • Link

  • Opportunistic Energy-Aware Scheduling for Container Orchestration Platforms Using Graph Neural Networks

  • Philipp Raith, Gourav Rattihalli, Aditya Dhakal, Sai Rahul Chalamalasetti, Dejan S. Milojicic, Eitan Frachtenberg, Stefan Nastic, Schahram Dustdar
  • Published in proceedings of 24th {IEEE} International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2024, Philadelphia, PA, USA, May 6-9, 2024, 2024 — pp. 299--306, {IEEE}
  • Link

  • GreenFaaS: Maximizing Energy Efficiency of HPC Workloads with FaaS

  • Alok Kamatar, Val\'erie Hayot-Sasson, Yadu N. Babuji, Andr\'e Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
  • Published in CoRR, 2024
  • Link

  • Enhancing Energy Efficiency with Multi-Site Scheduling Strategies

  • Alok Kamatar, Val\'erie Hayot-Sasson, Yadu N. Babuji, Andr\'e Bauer, Gourav Rattihalli, Ninad Hogade, Dejan S. Milojicic, Kyle Chard, Ian T. Foster
  • Published in proceedings of {IEEE} International Parallel and Distributed Processing Symposium, {IPDPS} 2024 - Workshop, San Francisco, CA, USA, May 27-31, 2024, 2024 — pp. 1175--1177, {IEEE}
  • Link

  • Enabling HPC Scientific Workflows for Serverless

  • Anderson Andrei Da Silva, Rolando Pablo Hong Enriquez, Gourav Rattihalli, Vijay Thurimella, Rafael Ferreira da Silva, Dejan S. Milojicic
  • Published in proceedings of {SC24-W:} Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17-22, 2024, 2024 — pp. 110--125, {IEEE}
  • Link

  • DyTwin: Federated Adaptive Digital Twins for Data Centers - Visualization and Anomaly Detection

  • 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
  • Published in proceedings of {SC24-W:} Workshops of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, November 17-22, 2024, 2024 — pp. 847--852, {IEEE}
  • Link

  • Sustainability: Fundamentals-Based Approach to Paying It Forward

  • Cullen E. Bash, Ninad Hogade, Dejan S. Milojicic, Gourav Rattihalli, Chandrakant D. Patel
  • Published in Computer, 2023 — pp. 125--132
  • Link

  • Kernel-as-a-Service: A Serverless Programming Model for Heterogeneous Hardware Accelerators

  • Tobias Pfandzelter, Aditya Dhakal, Eitan Frachtenberg, Sai Rahul Chalamalasetti, Darel Emmot, Ninad Hogade, Rolando Pablo Hong Enriquez, Gourav Rattihalli, David Bermbach, Dejan S. Milojicic
  • Published in proceedings of Proceedings of the 24th International Middleware Conference, Middleware 2023, Bologna, Italy, December 11-15, 2023, 2023 — pp. 192--206, {ACM}
  • Link

  • Fine-Grained Heterogeneous Execution Framework with Energy Aware Scheduling

  • Gourav Rattihalli, Ninad Hogade, Aditya Dhakal, Eitan Frachtenberg, Rolando P. Hong Enriquez, Pedro Bruel, Alok Mishra, Dejan S. Milojicic
  • Published in proceedings of 16th {IEEE} International Conference on Cloud Computing, {CLOUD} 2023, Chicago, IL, USA, July 2-8, 2023, 2023 — pp. 35--44, {IEEE}
  • Link

  • Fine-grained accelerator partitioning for Machine Learning and Scientific Computing in Function as a Service Platform

  • Aditya Dhakal, Philipp Raith, Logan T. Ward, Rolando P. Hong Enriquez, Gourav Rattihalli, Kyle Chard, Ian T. Foster, Dejan S. Milojicic
  • Published in proceedings of Proceedings of the {SC} '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis, {SC-W} 2023, Denver, CO, USA, November 12-17, 2023, 2023 — pp. 1606--1613, {ACM}
  • Link

  • Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment

  • Gourav Rattihalli, Madhusudhan Govindaraju, Devesh Tiwari
  • Published in proceedings of 19th {IEEE/ACM} International Symposium on Cluster, Cloud and Grid Computing, {CCGRID} 2019, Larnaca, Cyprus, May 14-17, 2019, 2019 — pp. 188--197, {IEEE}
  • Link

  • Exploring Potential for Non-Disruptive Vertical Auto Scaling and Resource Estimation in Kubernetes

  • Gourav Rattihalli, Madhusudhan Govindaraju, Hui Lu, Devesh Tiwari
  • Published in proceedings of 12th {IEEE} International Conference on Cloud Computing, {CLOUD} 2019, Milan, Italy, July 8-13, 2019, 2019 — pp. 33--40, {IEEE}
  • Link

  • Exploring Potential for Resource Request Right-Sizing via Estimation and Container Migration in Apache Mesos

  • Gourav Rattihalli
  • Published in proceedings of 2018 {IEEE/ACM} International Conference on Utility and Cloud Computing Companion, {UCC} Companion 2018, Zurich, Switzerland, December 17-20, 2018, 2018 — pp. 59--64, {IEEE}
  • Link

  • Two stage cluster for resource optimization with Apache Mesos

  • Gourav Rattihalli, Pankaj Saha, Madhusudhan Govindaraju, Devesh Tiwari
  • Published in MTAGS17: 10th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers, held in conjunction with SC17
  • Link

  • Exploring the Design Space for Optimizations with Apache Aurora and Mesos

  • Renan Delvalle, Gourav Rattihalli, Angel Beltre, Madhusudhan Govindaraju, Michael J. Lewis
  • Published in proceedings of 9th {IEEE} International Conference on Cloud Computing, {CLOUD} 2016, San Francisco, CA, USA, June 27 - July 2, 2016, 2016 — pp. 537--544, {IEEE} Computer Society
  • Link

Contact Me

Email

[email protected]