Abhinav Bhatele
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
18
Active years
2009–2026
Best venue rank
A*
Where they publish
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ICS | Skew-aware Adaptive All-to-allv Algorithms for Dynamic Deep Learning Workloads. | Cunyang Wei, Abhinav Bhatele |
| 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 | ICCV | Zero-Shot Vision Encoder Grafting via LLM Surrogates. | Kaiyu Yue, Vasu Singla, Menglin Jia, John Kirchenbauer, Rifaa Qadri, Zikui Cai, Abhinav Bhatele, Furong Huang, Tom Goldstein |
| 2025 | ICPP | ParEval-Repo: A Benchmark Suite for Evaluating LLMs with Repository-level HPC Translation Tasks. | Joshua Hoke Davis, Daniel Nichols, Ishan Khillan, Abhinav Bhatele |
| 2025 | ICS | Taking GPU Programming Models to Task for Performance Portability. | Joshua Hoke Davis, Pranav Sivaraman, Joy Kitson, Konstantinos Parasyris, Harshitha Menon, Isaac Minn, Giorgis Georgakoudis, Abhinav Bhatele |
| 2025 | SC | Plexus: Taming Billion-edge Graphs with 3D Parallel Full-graph GNN Training. | Aditya K. Ranjan, Siddharth Singh, Cunyang Wei, Abhinav Bhatele |
| 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 | ML-based Modeling to Predict I/O Performance on Different Storage Sub-systems. | Yiheng Xu, Pranav Sivaraman, Hariharan Devarajan, Kathryn Mohror, Abhinav Bhatele |
| 2024 | HPDC | Can Large Language Models Write Parallel Code? | Daniel Nichols, Joshua Hoke Davis, Zhaojun Xie, Arjun Rajaram, Abhinav Bhatele |
| 2024 | MSR | Learning to Predict and Improve Build Successes in Package Ecosystems. | Harshitha Menon, Daniel Nichols, Abhinav Bhatele, Todd Gamblin |
| 2024 | PDP | Predicting GPUDirect Benefits for HPC Workloads. | Harsh Khetawat, Nikhil Jain, Abhinav Bhatele, Frank Mueller |
| 2024 | SC | A Probabilistic Approach To Selecting Build Configurations in Package Managers. | Daniel Nichols, Harshitha Menon, Todd Gamblin, Abhinav Bhatele |
| 2024 | SC | Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers. | Siddharth Singh, Prajwal Singhania, Aditya K. Ranjan, John Kirchenbauer, Jonas Geiping, Yuxin Wen, Neel Jain, Abhimanyu Hans, Manli Shu, Aditya Tomar, Tom Goldstein, Abhinav Bhatele |
| 2023 | ICS | A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training. | Siddharth Singh, Olatunji Ruwase, Ammar Ahmad Awan, Samyam Rajbhandari, Yuxiong He, Abhinav Bhatele |
| 2021 | IPCCC | A Simulation Study of Hardware Parameters for Future GPU-based HPC Platforms. | Saptarshi Bhowmik, Nikhil Jain, Xin Yuan, Abhinav Bhatele |
| 2020 | CLUSTER | Predicting MPI Collective Communication Performance Using Machine Learning. | Sascha Hunold, Abhinav Bhatele, George Bosilca, Peter Knees |
| 2020 | ICS | End-to-end performance modeling of distributed GPU applications. | Jaemin Choi, David F. Richards, Laxmikant V. Kal, Abhinav Bhatele |
| 2020 | SC | Usability and Performance Improvements in Hatchet. | Stephanie Brink, Ian Lumsden, Connor Scully-Allison, Katy Williams, Olga Pearce, Todd Gamblin, Michela Taufer, Katherine E. Isaacs, Abhinav Bhatele |
| 2019 | HiPC | Evaluating the Impact of Energy Efficient Networks on HPC Workloads. | Giorgis Georgakoudis, Nikhil Jain, Takatsugu Ono, Koji Inoue, Shinobu Miwa, Abhinav Bhatele |
| 2019 | ICS | Optimizing computation-communication overlap in asynchronous task-based programs. | Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moret, Martin Schulz, Ramn Beivide, Mateo Valero, Abhinav Bhatele |
| 2019 | PADS | Analyzing Cost-Performance Tradeoffs of HPC Network Designs under Different Constraints using Simulations. | Abhinav Bhatele, Nikhil Jain, Misbah Mubarak, Todd Gamblin |
| 2019 | PPoPP | Optimizing computation-communication overlap in asynchronous task-based programs: poster. | Emilio Castillo, Nikhil Jain, Marc Casas, Miquel Moret, Martin Schulz, Ramn Beivide, Mateo Valero, Abhinav Bhatele |
| 2019 | SC | Hatchet: pruning the overgrowth in parallel profiles. | Abhinav Bhatele, Stephanie Brink, Todd Gamblin |
| 2018 | ICPP | Interference between I/O and MPI Traffic on Fat-tree Networks. | Kevin A. Brown, Nikhil Jain, Satoshi Matsuoka, Martin Schulz, Abhinav Bhatele |
| 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 |
| 2018 | SC | Visual Analytics Challenges in Analyzing Calling Context Trees. | Alexandre Bergel, Abhinav Bhatele, David Bhme, Patrick Gralka, Kevin S. Griffin, Marc-Andr Hermanns, Dusan Okanovic, Olga Pearce, Tom Vierjahn |
| 2018 | SC | Evaluation of an interference-free node allocation policy on fat-tree clusters. | Samuel D. Pollard, Nikhil Jain, Stephen Herbein, Abhinav Bhatele |
| 2018 | SC | Mitigating inter-job interference using adaptive flow-aware routing. | Staci A. Smith, Clara E. Cromey, David K. Lowenthal, Jens Domke, Nikhil Jain, Jayaraman J. Thiagarajan, Abhinav Bhatele |
| 2017 | CCGRID | Massively Parallel Simulations of Spread of Infectious Diseases over Realistic Social Networks. | Abhinav Bhatele, Jae-Seung Yeom, Nikhil Jain, Chris J. Kuhlman, Yarden Livnat, Keith R. Bisset, Laxmikant V. Kal, Madhav V. Marathe |
| 2017 | CCGRID | Preliminary Performance Analysis of Multi-rail Fat-tree Networks. | Noah Wolfe, Misbah Mubarak, Nikhil Jain, Jens Domke, Abhinav Bhatele, Christopher D. Carothers, Robert B. Ross |
| 2017 | CLUSTER | Quantifying I/O and Communication Traffic Interference on Dragonfly Networks Equipped with Burst Buffers. | Misbah Mubarak, Philip H. Carns, Jonathan Jenkins, Jianping Kelvin Li, Nikhil Jain, Shane Snyder, Robert B. Ross, Christopher D. Carothers, Abhinav Bhatele, Kwan-Liu Ma |
| 2017 | WSC | Toward reliable validation of HPC network simulation models. | Misbah Mubarak, Nikhil Jain, Jens Domke, Noah Wolfe, Caitlin Ross, Jianping Kelvin Li, Abhinav Bhatele, Christopher D. Carothers, Kwan-Liu Ma, Robert B. Ross |
| 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 | Predicting the performance impact of different fat-tree configurations. | Nikhil Jain, Abhinav Bhatele, Louis H. Howell, David Bhme, Ian Karlin, Edgar A. Len, Misbah Mubarak, Noah Wolfe, Todd Gamblin, Matthew L. Leininger |
| 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 |
| 2016 | SC | A machine learning framework for performance coverage analysis of proxy applications. | Tanzima Z. Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz, Todd Gamblin |
| 2016 | SC | Evaluating HPC networks via simulation of parallel workloads. | Nikhil Jain, Abhinav Bhatele, Sam White, Todd Gamblin, Laxmikant V. Kal |
| 2016 | SC | Characterizing parallel scientific applications on commodity clusters: an empirical study of a tapered fat-tree. | Edgar A. Len, Ian Karlin, Abhinav Bhatele, Steven H. Langer, Chris Chambreau, Louis H. Howell, Trent D'Hooge, Matthew L. Leininger |
| 2016 | SC | VIPACT: A Visualization Interface for Analyzing Calling Context Trees. | Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Bhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer |
| 2016 | SC | Data-Driven Performance Modeling of Linear Solvers for Sparse Matrices. | Jae-Seung Yeom, Jayaraman J. Thiagarajan, Abhinav Bhatele, Greg Bronevetsky, Tzanio V. Kolev |
| 2015 | EuroPar | Preliminary Evaluation of a Parallel Trace Replay Tool for HPC Network Simulations. | Bilge Acun, Nikhil Jain, Abhinav Bhatele, Misbah Mubarak, Christopher D. Carothers, Laxmikant V. Kal |
| 2015 | SC | Recovering logical structure from Charm++ event traces. | Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Bhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer |
| 2014 | HiPC | Optimizing the performance of parallel applications on a 5D torus via task mapping. | Abhinav Bhatele, Nikhil Jain, Katherine E. Isaacs, Ronak Buch, Todd Gamblin, Steven H. Langer, Laxmikant V. Kal |
| 2014 | PPoPP | Extracting logical structure and identifying stragglers in parallel execution traces. | Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, Bernd Hamann |
| 2014 | SC | RAHTM: Routing Algorithm Aware Hierarchical Task Mapping. | Ahmed H. Abdel-Gawad, Mithuna Thottethodi, Abhinav Bhatele |
| 2014 | SC | Dissecting On-Node Memory Access Performance: A Semantic Approach. | Alfredo Gimnez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, Bernd Hamann |
| 2014 | SC | Maximizing Throughput on a Dragonfly Network. | Nikhil Jain, Abhinav Bhatele, Xiang Ni, Nicholas J. Wright, Laxmikant V. Kal |
| 2014 | SC | Visualizing the five-dimensional torus network of the IBM blue gene/Q. | Collin M. McCarthy, Katherine E. Isaacs, Abhinav Bhatele, Peer-Timo Bremer, Bernd Hamann |
| 2013 | SC | There goes the neighborhood: performance degradation due to nearby jobs. | Abhinav Bhatele, Kathryn Mohror, Steve H. Langer, Katherine E. Isaacs |
| 2013 | SC | Predicting application performance using supervised learning on communication features. | Nikhil Jain, Abhinav Bhatele, Michael P. Robson, Todd Gamblin, Laxmikant V. Kal |
| 2012 | ICPP | A Hierarchical Approach for Load Balancing on Parallel Multi-core Systems. | Larcio Lima Pilla, Christiane Pousa Ribeiro, Daniel Cordeiro, Chao Mei, Abhinav Bhatele, Philippe Olivier Alexandre Navaux, Franois Broquedis, Jean-Franois Mhaut, Laxmikant V. Kal |
| 2012 | SC | Novel views of performance data to analyze large-scale adaptive applications. | Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann |
| 2012 | SC | Mapping applications with collectives over sub-communicators on torus networks. | Abhinav Bhatele, Todd Gamblin, Steve H. Langer, Peer-Timo Bremer, Erik W. Draeger, Bernd Hamann, Katherine E. Isaacs, Aaditya G. Landge, Joshua A. Levine, Valerio Pascucci, Martin Schulz, Charles H. Still |
| 2011 | HiPC | Weighted locality-sensitive scheduling for mitigating noise on multi-core clusters. | Vivek Kale, Abhinav Bhatele, William D. Gropp |
| 2011 | HPCC | Heuristic-Based Techniques for Mapping Irregular Communication Graphs to Mesh Topologies. | Abhinav Bhatele, Laxmikant V. Kal |
| 2011 | ICPADS | Simulation-Based Performance Analysis and Tuning for a Two-Level Directly Connected System. | Ehsan Totoni, Abhinav Bhatele, Eric J. Bohm, Nikhil Jain, Celso L. Mendes, Ryan M. Mokos, Gengbin Zheng, Laxmikant V. Kal |
| 2011 | SC | Avoiding hot-spots on two-level direct networks. | Abhinav Bhatele, Nikhil Jain, William D. Gropp, Laxmikant V. Kal |
| 2011 | SC | Improving communication performance in dense linear algebra via topology aware collectives. | Edgar Solomonik, Abhinav Bhatele, James Demmel |
| 2010 | HiPC | Automated mapping of regular communication graphs on mesh interconnects. | Abhinav Bhatele, Gagan Raj Gupta, Laxmikant V. Kal, I-Hsin Chung |
| 2009 | EuroPar | A Case Study of Communication Optimizations on 3D Mesh Interconnects. | Abhinav Bhatele, Eric J. Bohm, Laxmikant V. Kal |
| 2009 | ICS | Dynamic topology aware load balancing algorithms for molecular dynamics applications. | Abhinav Bhatele, Laxmikant V. Kal, Sameer Kumar |
| 2009 | PPoPP | Topology aware task mapping techniques: an api and case study. | Abhinav Bhatele, Eric J. Bohm, Laxmikant V. Kal |