Aniruddha Marathe
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2013–2026
Best venue rank
A
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CCGRID | Priority-Aware GPU Co-Scheduling for High Performance Computing. | Naman Kulshreshtha, Tapasya Patki, Aniruddha Marathe, Tom Scogland, Rong Ge |
| 2025 | HPDC | ModelX : A Novel Transfer Learning Approach Across Heterogeneous Datasets. | Arunavo Dey, Neil Antony, Aakash Raj Dhakal, Kowshik Thopalli, Jayaraman J. Thiagarajan, Tapasya Patki, Aniruddha Marathe, Tom Scogland, Jae-Seung Yeom, Tanzima Z. Islam |
| 2025 | SC | Usability Evaluation of Cloud for HPC Applications. | Vanessa V. Sochat, Daniel Milroy, Abhik Sarkar, Aniruddha Marathe, Tapasya Patki |
| 2024 | COMPSAC | PERFGEN: A Synthesis and Evaluation Framework for Performance Data using Generative AI. | Banooqa H. Banday, Tanzima Z. Islam, Aniruddha Marathe |
| 2024 | ISPASS | On the Rise of AMD Matrix Cores: Performance, Power Efficiency, and Programmability. | Gabin Schieffer, Daniel Arajo de Medeiros, Jennifer Faj, Aniruddha Marathe, Ivy Peng |
| 2023 | SC | msr-genie: Navigating Model Specific Registers Across Processor Generations. | Kyle Fan, Barry Rountree, Tapasya Patki, Aniruddha Marathe, Stephanie Brink, Duncan McFarlane, Eric Green, Kathleen Shoga |
| 2022 | COMPSAC | LIBNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool. | Holland Schutte, Chase Phelps, Aniruddha Marathe, Tanzima Z. Islam |
| 2020 | CLUSTER | Toward an End-to-End Auto-tuning Framework in HPC PowerStack. | Xingfu Wu, Aniruddha Marathe, Siddhartha Jana, Ondrej Vysocky, Jophin John, Andrea Bartolini, Lubomir Riha, Michael Gerndt, Valerie Taylor, Sridutt Bhalachandra |
| 2019 | PDCAT | Adaptive Power Reallocation for Value-Oriented Schedulers in Power-Constrained HPC. | Nirmal Kumbhare, Aniruddha Marathe, Ali Akoglu, Salim Hariri, Ghaleb Abdulla |
| 2018 | HPDC | PShifter: feedback-based dynamic power shifting within HPC jobs for performance. | Neha Gholkar, Frank Mueller, Barry Rountree, Aniruddha Marathe |
| 2018 | ICS | Bootstrapping Parameter Space Exploration for Fast Tuning. | Jayaraman J. Thiagarajan, Nikhil Jain, Rushil Anirudh, Alfredo Gimnez, Rahul Sridhar, Aniruddha Marathe, Tao Wang, Murali Emani, Abhinav Bhatele, Todd Gamblin |
| 2017 | SC | ScrubJay: deriving knowledge from the disarray of HPC performance data. | Alfredo Gimnez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz |
| 2017 | SC | Performance modeling under resource constraints using deep transfer learning. | Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, Todd Gamblin |
| 2017 | SC | An empirical survey of performance and energy efficiency variation on Intel processors. | Aniruddha Marathe, Yijia Zhang, Grayson Blanks, Nirmal Kumbhare, Ghaleb Abdulla, Barry Rountree |
| 2017 | SC | PANN: Power Allocation via Neural Networks Dynamic Bounded-Power Allocation in High Performance Computing. | Will Whiteside, Shelby H. Funk, Aniruddha Marathe, Barry Rountree |
| 2015 | SC | Finding the limits of power-constrained application performance. | Peter E. Bailey, Aniruddha Marathe, David K. Lowenthal, Barry Rountree, Martin Schulz |
| 2014 | HPDC | Exploiting redundancy for cost-effective, time-constrained execution of HPC applications on amazon EC2. | Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz |
| 2013 | HPDC | A comparative study of high-performance computing on the cloud. | Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz, Xin Yuan |