Todd Gamblin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
12
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | SC | XaaS Containers: Performance-Portable Representation With Source and IR Containers. | Marcin Copik, Eiman Alnuaimi, Alok Kamatar, Valrie Hayot-Sasson, Alberto Madonna, Todd Gamblin, Kyle Chard, Ian T. Foster, Torsten Hoefler |
| 2025 | SC | Bridging the Gap Between Binary and Source Based Package Management in Spack. | John Gouwar, Gregory Becker, Tamara Dahlgren, Nathan Hanford, Arjun Guha, Todd Gamblin |
| 2024 | MSR | Learning to Predict and Improve Build Successes in Package Ecosystems. | Harshitha Menon, Daniel Nichols, Abhinav Bhatele, Todd Gamblin |
| 2024 | SC | A Probabilistic Approach To Selecting Build Configurations in Package Managers. | Daniel Nichols, Harshitha Menon, Todd Gamblin, Abhinav Bhatele |
| 2023 | ICSE | Flexible and Optimal Dependency Management via Max-SMT. | Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell, Massimiliano Culpo, Todd Gamblin |
| 2023 | SC | Towards Collaborative Continuous Benchmarking for HPC. | Olga Pearce, Alec Scott, Gregory Becker, Riyaz Haque, Nathan Hanford, Stephanie Brink, Doug Jacobsen, Heidi Poxon, Jens Domke, Todd Gamblin |
| 2022 | MSR | Searching for High-Fidelity Builds Using Active Learning. | Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin |
| 2022 | SC | Using Answer Set Programming for HPC Dependency Solving. | Todd Gamblin, Massimiliano Culpo, Gregory Becker, Sergei Shudler |
| 2022 | SC | Mapping Out the HPC Dependency Chaos. | Farid Zakaria, Thomas R. W. Scogland, Todd Gamblin, Carlos Maltzahn |
| 2020 | ICS | CodeSeer: input-dependent code variants selection via machine learning. | Tao Wang, Nikhil Jain, David Bhme, David Beckingsale, Frank Mueller, Todd Gamblin |
| 2020 | SC | Workflows are the New Applications: Challenges in Performance, Portability, and Productivity. | Tal Ben-Nun, Todd Gamblin, Daisy S. Hollman, Hari Krishnan, Chris J. Newburn |
| 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 |
| 2020 | SC | archspec: A library for detecting, labeling, and reasoning about microarchitectures. | Massimiliano Culpo, Gregory Becker, Carlos Eduardo Arango Gutierrez, Kenneth Hoste, Todd Gamblin |
| 2019 | ICPP | FuncyTuner: Auto-tuning Scientific Applications With Per-loop Compilation. | Tao Wang, Nikhil Jain, David Beckingsale, David Bhme, Frank Mueller, Todd Gamblin |
| 2019 | PADS | Analyzing Cost-Performance Tradeoffs of HPC Network Designs under Different Constraints using Simulations. | Abhinav Bhatele, Nikhil Jain, Misbah Mubarak, Todd Gamblin |
| 2019 | SC | Hatchet: pruning the overgrowth in parallel profiles. | Abhinav Bhatele, Stephanie Brink, Todd Gamblin |
| 2019 | SC | Preparation and optimization of a diverse workload for a large-scale heterogeneous system. | Ian Karlin, Yoonho Park, Bronis R. de Supinski, Peng Wang, Bert Still, David Beckingsale, Robert Blake, Tong Chen, Guojing Cong, Carlos H. A. Costa, Johann Dahm, Giacomo Domeniconi, Thomas Epperly, Aaron Fisher, Sara Kokkila Schumacher, Steven H. Langer, Hai Le, Eun Kyung Lee, Naoya Maruyama, Xinyu Que, David F. Richards, Bjrn Sjgreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Bhme, Jamie A. Bramwell, James M. Brase, Jos R. Brunheroto, Barry Chen, Charway R. Cooper, Tony Degroot, Robert D. Falgout, Todd Gamblin, David J. Gardner, James N. Glosli, John A. Gunnels, Max P. Katz, Tzanio V. Kolev, I-Feng W. Kuo, Matthew P. LeGendre, Ruipeng Li, Pei-Hung Lin, Shelby Lockhart, Kathleen McCandless, Claudia Misale, Jaime H. Moreno, Rob Neely, Jarom Nelson, Rao Nimmakayala, Kathryn M. O'Brien, Kevin O'Brien, Ramesh Pankajakshan, Roger Pearce, Slaven Peles, Phil Regier, Steven C. Rennich, Martin Schulz, Howard Scott, James C. Sexton, Kathleen Shoga, Shiv Sundram, Guillaume Thomas-Collignon, Brian Van Essen, Alexey Voronin, Bob Walkup, Lu Wang, Chris Ward, Hui-Fang Wen, Daniel A. White, Christopher Young, Cyril Zeller, Edward Zywicz |
| 2019 | SC | Using Malleable Task Scheduling to Accelerate Package Manager Installations. | Samuel Knight, Jeremiah J. Wilke, Todd Gamblin |
| 2018 | ICPP | PRIONN: Predicting Runtime and IO using Neural Networks. | Michael R. Wyatt II, Stephen Herbein, Todd Gamblin, Adam Moody, Dong H. Ahn, Michela Taufer |
| 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 | 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 |
| 2017 | SC | Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE. | Chad Wood, Matthew Larsen, Alfredo Gimnez, Kevin A. Huck, Cyrus Harrison, Todd Gamblin, Allen D. Malony |
| 2016 | CLUSTER | Machine Learning Predictions of Runtime and IO Traffic on High-End Clusters. | Ryan McKenna, Stephen Herbein, Adam Moody, Todd Gamblin, Michela Taufer |
| 2016 | ISSRE | A Study of Failures in Community Clusters: The Case of Conte. | Subrata Mitra, Suhas Javagal, Amiya Kumar Maji, Todd Gamblin, Adam Moody, Stephen Lien Harrell, Saurabh Bagchi |
| 2016 | SC | Managing Combinatorial Software Installations with Spack. | Gregory Becker, Peter Scheibel, Matthew P. LeGendre, Todd Gamblin |
| 2016 | SC | Caliper: performance introspection for HPC software stacks. | David Bhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Gimnez, Matthew P. LeGendre, Olga Pearce, Martin Schulz |
| 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 | 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 | A Scalable Observation System for Introspection and In Situ Analytics. | Chad Wood, Sudhanshu Sane, Daniel A. Ellsworth, Alfredo Gimnez, Kevin A. Huck, Todd Gamblin, Allen D. Malony |
| 2015 | PPoPP | Decoupled load balancing. | Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy M. Amato |
| 2015 | SC | The Spack package manager: bringing order to HPC software chaos. | Todd Gamblin, Matthew P. LeGendre, Michael R. Collette, Gregory L. Lee, Adam Moody, Bronis R. de Supinski, Scott Futral |
| 2015 | SC | Relating memory performance data to application domain data using an integration API. | Benafsh Husain, Alfredo Gimnez, Joshua A. Levine, Todd Gamblin, Peer-Timo Bremer |
| 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 | CCGRID | A User-Level InfiniBand-Based File System and Checkpoint Strategy for Burst Buffers. | Kento Sato, Kathryn Mohror, Adam Moody, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, Satoshi Matsuoka |
| 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 | ICS | Load balancing n-body simulations with highly non-uniform density. | Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Tom Arsenlis, Nancy M. Amato |
| 2014 | PLDI | Accurate application progress analysis for large-scale parallel debugging. | Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, Todd Gamblin |
| 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 | Dissecting On-Node Memory Access Performance: A Semantic Approach. | Alfredo Gimnez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, Bernd Hamann |
| 2013 | ICS | Massively parallel loading. | Wolfgang Frings, Dong H. Ahn, Matthew P. LeGendre, Todd Gamblin, Bronis R. de Supinski, Felix Wolf |
| 2013 | SC | Predicting application performance using supervised learning on communication features. | Nikhil Jain, Abhinav Bhatele, Michael P. Robson, Todd Gamblin, Laxmikant V. Kal |
| 2012 | ICS | Quantifying the effectiveness of load balance algorithms. | Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy M. Amato |
| 2012 | SC | Abstract: Evaluating Topology Mapping via Graph Partitioning. | Anshu Arya, Todd Gamblin, Bronis R. de Supinski, Laxmikant V. Kal |
| 2012 | SC | Poster: Evaluation Topology Mapping via Graph Partitioning. | Anshu Arya, Todd Gamblin, Bronis R. de Supinski, 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 |
| 2012 | SC | Abstract: Exploring Performance Data with Boxfish. | Katherine E. Isaacs, Aaditya G. Landge, Todd Gamblin, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann |
| 2012 | SC | Abstract: Slack-Conscious Lightweight Loop Scheduling for Improving Scalability of Bulk-synchronous MPI Applications. | Vivek Kale, Todd Gamblin, Torsten Hoefler, Bronis R. de Supinski, William D. Gropp |
| 2012 | SC | Design and modeling of a non-blocking checkpointing system. | Kento Sato, Naoya Maruyama, Kathryn Mohror, Adam Moody, Todd Gamblin, Bronis R. de Supinski, Satoshi Matsuoka |
| 2011 | ICPP | Interpreting Performance Data across Intuitive Domains. | Martin Schulz, Joshua A. Levine, Peer-Timo Bremer, Todd Gamblin, Valerio Pascucci |
| 2011 | SC | Large scale debugging of parallel tasks with AutomaDeD. | Ignacio Laguna, Todd Gamblin, Bronis R. de Supinski, Saurabh Bagchi, Greg Bronevetsky, Dong H. Ahn, Martin Schulz, Barry Rountree |
| 2010 | ICS | Clustering performance data efficiently at massive scales. | Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, Daniel A. Reed |
| 2008 | SC | Scalable load-balance measurement for SPMD codes. | Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, Daniel A. Reed |