Tapasya Patki
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
9
Active years
2013–2026
Best venue rank
A
Where they publish
Papers
25 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 |
| 2026 | HPDC | Flux Fiction: Hopping Toward Storage Graph Scheduling With El Capitan's Rabbits. | W. Jay Ashworth, Ian Lumsden, Jim Garlick, Mark Grondona, Olga Pearce, Stephanie Brink, Daniel Milroy, Tapasya Patki, Tom Scogland, Michela Taufer |
| 2025 | CCGRID | xAMM: "Attention" to Details Improves Cross-Platform Prediction Accuracy. | Aakash Raj Dhakal, Tanzima Z. Islam, Arunavo Dey, Daniel Nichols, Abhinav Bhatele, Tapasya Patki, Tom Scogland, Jae-Seung Yeom |
| 2025 | HPDC | Flux Emulator: First Insights into Optimizing Scheduling for Exascale HPC. | W. Jay Ashworth, Ian Lumsden, Jim Garlick, Mark Grondona, Olga Pearce, Stephanie Brink, Dewi Yokelson, Daniel Milroy, Tapasya Patki, Thomas Scogland, Michela Taufer |
| 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 | ICS | A Global Perspective on Supercomputer Power Provisioning: Case Studies from United States and Europe. | Tapasya Patki, Barry Rountree, Torsten Wilde, Andrea Bartolini, Stephanie Brink, Esa Heiskanen, Sachin Idgunji, Matthias Maiterth, James H. Rogers, Ermal Rrapaj, Ralf Schneider, Woong Shin, Kathleen Shoga, Christian Simmendinger, Nicholas J. Wright, Zhengji Zhao |
| 2025 | SC | HPC Digital Twins for Evaluating Scheduling Policies, Incentive Structures and their Impact on Power and Cooling. | Matthias Maiterth, Wesley H. Brewer, Jaya S. Kuruvella, Arunavo Dey, Tanzima Z. Islam, Rashadul Kabir, Kevin Menear, Dmitry Duplyakin, Tapasya Patki, Terry R. Jones, Feiyi Wang |
| 2025 | SC | Usability Evaluation of Cloud for HPC Applications. | Vanessa V. Sochat, Daniel Milroy, Abhik Sarkar, Aniruddha Marathe, Tapasya Patki |
| 2025 | SSDBM | Enabling Lightweight Performance Analysis of Complex Scientific Workflows with PerfFlowAspect. | Aliza Lisan, Tapasya Patki, Stephanie Brink, Konstantinos Parasyris, Brian Gunnarson, Giorgis Georgakoudis, Hank Childs |
| 2024 | COMPSAC | Relative Performance Prediction Using Few-Shot Learning. | Arunavo Dey, Aakash Dhakal, Tanzima Z. Islam, Jae-Seung Yeom, Tapasya Patki, Daniel Nichols, Alexander Movsesyan, Abhinav Bhatele |
| 2024 | HiPC | HPC Application Parameter Autotuning on Edge Devices: A Bandit Learning Approach. | Abrar Hossain, Abdel-Hameed A. Badawy, Mohammad A. Islam, Tapasya Patki, Kishwar Ahmed |
| 2024 | SC | Vendor-neutral and Production-grade Job Power Management in High Performance Computing. | Naman Kulshreshtha, Tapasya Patki, Jim Garlick, Mark Grondona, Rong Ge |
| 2023 | CLUSTER | Autonomy Loops for Monitoring, Operational Data Analytics, Feedback, and Response in HPC Operations. | Francieli Boito, Jim M. Brandt, Valeria Cardellini, Philip H. Carns, Florina M. Ciorba, Hilary Egan, Ahmed Eleliemy, Ann C. Gentile, Thomas Gruber, Jeff Hanson, Utz-Uwe Haus, Kevin A. Huck, Thomas Ilsche, Thomas Jakobsche, Terry R. Jones, Sven Karlsson, Abdullah Mueen, Michael Ott, Tapasya Patki, Ivy Peng, Krishnan Raghavan, Stephen Simms, Kathleen Shoga, Michael T. Showerman, Devesh Tiwari, Torsten Wilde, Keiji Yamamoto |
| 2023 | JSSPP | Evaluating the Potential of Coscheduling on High-Performance Computing Systems. | Jason Hall, Arjun Lathi, David K. Lowenthal, Tapasya Patki |
| 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 |
| 2023 | SC | Fluxion: A Scalable Graph-Based Resource Model for HPC Scheduling Challenges. | Tapasya Patki, Dong H. Ahn, Daniel Milroy, Jae-Seung Yeom, Jim Garlick, Mark Grondona, Stephen Herbein, Thomas Scogland |
| 2021 | CLUSTER | Monitoring Large Scale Supercomputers: A Case Study with the Lassen Supercomputer. | Tapasya Patki, Adam Bertsch, Ian Karlin, Dong H. Ahn, Brian Van Essen, Barry Rountree, Bronis R. de Supinski, Nathan Besaw |
| 2019 | SC | Comparing GPU Power and Frequency Capping: A Case Study with the MuMMI Workflow. | Tapasya Patki, Zachary Frye, Harsh Bhatia, Francesco Di Natale, James N. Glosli, Helgi I. Inglfsson, Barry Rountree |
| 2019 | SC | Performance optimality or reproducibility: that is the question. | Tapasya Patki, Jayaraman J. Thiagarajan, Alexis Ayala, Tanzima Z. Islam |
| 2017 | SC | Simulating Power Scheduling at Scale. | Daniel A. Ellsworth, Tapasya Patki, Martin Schulz, Barry Rountree, Allen D. Malony |
| 2016 | SC | A Unified Platform for Exploring Power Management Strategies. | Daniel A. Ellsworth, Tapasya Patki, Martin Schulz, Barry Rountree, Allen D. Malony |
| 2016 | SC | Economic Viability of Hardware Overprovisioning in Power-Constrained High Performance Computing. | Tapasya Patki, David K. Lowenthal, Barry L. Rountree, Martin Schulz, Bronis R. de Supinski |
| 2015 | HPDC | Practical Resource Management in Power-Constrained, High Performance Computing. | Tapasya Patki, David K. Lowenthal, Anjana Sasidharan, Matthias Maiterth, Barry Rountree, Martin Schulz, Bronis R. de Supinski |
| 2015 | SC | Analyzing and mitigating the impact of manufacturing variability in power-constrained supercomputing. | Yuichi Inadomi, Tapasya Patki, Koji Inoue, Mutsumi Aoyagi, Barry Rountree, Martin Schulz, David K. Lowenthal, Yasutaka Wada, Keiichiro Fukazawa, Masatsugu Ueda, Masaaki Kondo, Ikuo Miyoshi |
| 2013 | ICS | Exploring hardware overprovisioning in power-constrained, high performance computing. | Tapasya Patki, David K. Lowenthal, Barry Rountree, Martin Schulz, Bronis R. de Supinski |