Todd Gamblin - RankMe

129 papers A* 2A 45B 7C 5Misc 2Journal 38Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Performance-Aligned LLMs for Generating Fast HPC Code. IEEE Trans. Parallel Distributed Syst. Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele
2025	A	`conf`	Bridging the Gap Between Binary and Source Based Package Management in Spack. SC John Gouwar, Gregory Becker, Tamara Dahlgren, Nathan Hanford, Arjun Guha, Todd Gamblin
2025	J	`jnl`	Bridging the Gap Between Binary and Source Based Package Management in Spack. CoRR John Gouwar, Gregory Becker, Tamara Dahlgren, Nathan Hanford, Arjun Guha, Todd Gamblin
2025	J	`jnl`	LLMs as Packagers of HPC Software. CoRR Caetano Melone, Daniel Nichols, Konstantinos Parasyris, Todd Gamblin, Harshitha Menon
2025	C	`conf`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. ISC Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	J	`jnl`	Leveraging AI for Productive and Trustworthy HPC Software: Challenges and Research Directions. CoRR Keita Teranishi, Harshitha Menon, William F. Godoy, Prasanna Balaprakash, David Bau, Tal Ben-Nun, Abhinav Bhatele, Franz Franchetti, Michael E. Franusich, Todd Gamblin, Giorgis Georgakoudis, Tom Goldstein, Arjun Guha, Steven E. Hahn, Costin Iancu, Zheming Jin, Terry R. Jones, Tze Meng Low, Het Mankad, Narasinga Rao Miniskar, Mohammad Alaul Haque Monil, Daniel Nichols, Konstantinos Parasyris, Swaroop Pophale, Pedro Valero-Lara, Jeffrey S. Vetter, Samuel Williams, Aaron R. Young
2025	A	`conf`	XaaS Containers: Performance-Portable Representation With Source and IR Containers. SC Marcin Copik, Eiman Alnuaimi, Alok Kamatar, Valérie Hayot-Sasson, Alberto Madonna, Todd Gamblin, Kyle Chard, Ian T. Foster, Torsten Hoefler
2025	J	`jnl`	XaaS Containers: Performance-Portable Representation With Source and IR Containers. CoRR Marcin Copik, Eiman Alnuaimi, Alok Kamatar, Valérie Hayot-Sasson, Alberto Madonna, Todd Gamblin, Kyle Chard, Ian T. Foster, Torsten Hoefler
2024	A	`conf`	A Probabilistic Approach To Selecting Build Configurations in Package Managers. SC Daniel Nichols, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2024	—	`conf`	An Exploration of Global Optimization Strategies for Autotuning OpenMP-based Codes. IPDPS (Workshops) Gregory Bolet, Giorgis Georgakoudis, Konstantinos Parasyris, Kirk W. Cameron, David Beckingsale, Todd Gamblin
2024	J	`jnl`	HPC and Cloud Convergence Beyond Technical Boundaries: Strategies for Economic Sustainability, Standardization, and Data Accessibility. Computer Michela Taufer, Daniel Milroy, Todd Gamblin, Andrew Jones, Bill Magro, Heidi Poxon, Seetharami R. Seelam
2024	C	`conf`	HPC-Coder: Modeling Parallel Programs using Large Language Models. ISC Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2024	A	`conf`	Learning to Predict and Improve Build Successes in Package Ecosystems. MSR Harshitha Menon, Daniel Nichols, Abhinav Bhatele, Todd Gamblin
2024	J	`jnl`	Performance-Aligned LLMs for Generating Fast Code. CoRR Daniel Nichols, Pranav Polasam, Harshitha Menon, Aniruddha Marathe, Todd Gamblin, Abhinav Bhatele
2024	J	`jnl`	Providing a Flexible and Comprehensive Software Stack Via Spack, an Extreme-Scale Scientific Software Stack, and Software Development Kits. Comput. Sci. Eng. James M. Willenbring, Sameer Suresh Shende, Todd Gamblin
2024	J	`jnl`	Toward a Cohesive AI and Simulation Software Ecosystem for Scientific Innovation. CoRR Michael A. Heroux, Sameer Shende, Lois Curfman McInnes, Todd Gamblin, James M. Willenbring
2023	A*	`conf`	Flexible and Optimal Dependency Management via Max-SMT. ICSE Donald Pinckney, Federico Cassano, Arjun Guha, Jonathan Bell, Massimiliano Culpo, Todd Gamblin
2023	J	`jnl`	Machine Learning-Driven Adaptive OpenMP For Portable Performance on Heterogeneous Systems. CoRR Giorgis Georgakoudis, Konstantinos Parasyris, Chunhua Liao, David Beckingsale, Todd Gamblin, Bronis R. de Supinski
2023	J	`jnl`	Modeling Parallel Programs using Large Language Models. CoRR Daniel Nichols, Aniruddha Marathe, Harshitha Menon, Todd Gamblin, Abhinav Bhatele
2023	J	`jnl`	Overcoming Challenges to Continuous Integration in HPC. CoRR Todd Gamblin, Daniel S. Katz
2023	J	`jnl`	Scalable Comparative Visualization of Ensembles of Call Graphs. IEEE Trans. Vis. Comput. Graph. Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Stephanie Brink, Olga Pearce, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma
2023	—	`conf`	Towards Collaborative Continuous Benchmarking for HPC. SC Workshops Olga Pearce, Alec Scott, Gregory Becker, Riyaz Haque, Nathan Hanford, Stephanie Brink, Doug Jacobsen, Heidi Poxon, Jens Domke, Todd Gamblin
2022	J	`jnl`	AI4IO: A suite of AI-based tools for IO-aware scheduling. Int. J. High Perform. Comput. Appl. Michael R. Wyatt II, Stephen Herbein, Todd Gamblin, Michela Taufer
2022	A	`conf`	Mapping Out the HPC Dependency Chaos. SC Farid Zakaria, Thomas R. W. Scogland, Todd Gamblin, Carlos Maltzahn
2022	J	`jnl`	Mapping Out the HPC Dependency Chaos. CoRR Farid Zakaria, Thomas R. W. Scogland, Todd Gamblin, Carlos Maltzahn
2022	J	`jnl`	Overcoming Challenges to Continuous Integration in HPC. Comput. Sci. Eng. Todd Gamblin, Daniel S. Katz
2022	J	`jnl`	Reliabuild: Searching for High-Fidelity Builds Using Active Learning. CoRR Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin
2022	A	`conf`	Resource Utilization Aware Job Scheduling to Mitigate Performance Variability. IPDPS Daniel Nichols, Aniruddha Marathe, Kathleen Shoga, Todd Gamblin, Abhinav Bhatele
2022	A	`conf`	Searching for High-Fidelity Builds Using Active Learning. MSR Harshitha Menon, Konstantinos Parasyris, Tom Scogland, Todd Gamblin
2022	A	`conf`	Using Answer Set Programming for HPC Dependency Solving. SC Todd Gamblin, Massimiliano Culpo, Gregory Becker, Sergei Shudler
2022	J	`jnl`	Using Answer Set Programming for HPC Dependency Solving. CoRR Todd Gamblin, Massimiliano Culpo, Gregory Becker, Sergei Shudler
2022	J	`jnl`	Using Solver-Aided Languages to Build Package Managers. CoRR Donald Pinckney, Arjun Guha, Massimiliano Culpo, Todd Gamblin
2021	—	`conf`	A Holistic View of Memory Utilization on HPC Systems: Current and Future Trends. MEMSYS Ivy Peng, Ian Karlin, Maya B. Gokhale, Kathleen Shoga, Matthew P. LeGendre, Todd Gamblin
2021	C	`conf`	Artemis: Automatic Runtime Tuning of Parallel Execution Parameters Using Machine Learning. ISC Chad Wood, Giorgis Georgakoudis, David Beckingsale, David Poliakoff, Alfredo Giménez, Kevin A. Huck, Allen D. Malony, Todd Gamblin
2021	—	`conf`	Extending OpenMP for Machine Learning-Driven Adaptation. WACCPD@SC Chunhua Liao, Anjia Wang, Giorgis Georgakoudis, Bronis R. de Supinski, Yonghong Yan, David Beckingsale, Todd Gamblin
2021	A	`ed.`	International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2021, St. Louis, Missouri, USA, November 14-19, 2021 SC Bronis R. de Supinski, Mary W. Hall, Todd Gamblin
2021	J	`jnl`	Visualizing Hierarchical Performance Profiles of Parallel Codes Using CallFlow. IEEE Trans. Vis. Comput. Graph. Huu Tan Nguyen, Abhinav Bhatele, Nikhil Jain, Suraj P. Kesavan, Harsh Bhatia, Todd Gamblin, Kwan-Liu Ma, Peer-Timo Bremer
2020	A	`conf`	Auto-tuning Parameter Choices in HPC Applications using Bayesian Optimization. IPDPS Harshitha Menon, Abhinav Bhatele, Todd Gamblin
2020	A	`conf`	CanarIO: Sounding the Alarm on IO-Related Performance Degradation. IPDPS Michael R. Wyatt II, Stephen Herbein, Kathleen Shoga, Todd Gamblin, Michela Taufer
2020	A	`conf`	CodeSeer: input-dependent code variants selection via machine learning. ICS Tao Wang, Nikhil Jain, David Böhme, David Beckingsale, Frank Mueller, Todd Gamblin
2020	J	`jnl`	Scalable Comparative Visualization of Ensembles of Call Graphs. CoRR Suraj P. Kesavan, Harsh Bhatia, Abhinav Bhatele, Todd Gamblin, Peer-Timo Bremer, Kwan-Liu Ma
2020	—	`conf`	Usability and Performance Improvements in Hatchet. HUST/ProTools@SC Stephanie Brink, Ian Lumsden, Connor Scully-Allison, Katy Williams, Olga Pearce, Todd Gamblin, Michela Taufer, Katherine E. Isaacs, Abhinav Bhatele
2020	—	`conf`	Workflows are the New Applications: Challenges in Performance, Portability, and Productivity. P3HPC@SC Tal Ben-Nun, Todd Gamblin, Daisy S. Hollman, Hari Krishnan, Chris J. Newburn
2020	—	`conf`	archspec: A library for detecting, labeling, and reasoning about microarchitectures. CANOPIE-HPC@SC Massimiliano Culpo, Gregory Becker, Carlos Eduardo Arango Gutierrez, Kenneth Hoste, Todd Gamblin
2019	—	`conf`	Analyzing Cost-Performance Tradeoffs of HPC Network Designs under Different Constraints using Simulations. SIGSIM-PADS Abhinav Bhatele, Nikhil Jain, Misbah Mubarak, Todd Gamblin
2019	B	`conf`	FuncyTuner: Auto-tuning Scientific Applications With Per-loop Compilation. ICPP Tao Wang, Nikhil Jain, David Beckingsale, David Böhme, Frank Mueller, Todd Gamblin
2019	A	`conf`	Hatchet: pruning the overgrowth in parallel profiles. SC Abhinav Bhatele, Stephanie Brink, Todd Gamblin
2019	A	`conf`	Preparation and optimization of a diverse workload for a large-scale heterogeneous system. SC 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, Björn Sjögreen, Jonathan Wong, Carol S. Woodward, Ulrike Meier Yang, Xiaohua Zhang, Bob Anderson, David Appelhans, Levi Barnes, Peter D. Barnes Jr., Sorin Bastea, David Böhme, Jamie A. Bramwell, James M. Brase, José 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	J	`jnl`	Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization. IEEE Trans. Vis. Comput. Graph. Katherine E. Isaacs, Todd Gamblin
2019	J	`jnl`	Preserving Command Line Workflow for a Package Management System using ASCII DAG Visualization. CoRR Katherine E. Isaacs, Todd Gamblin
2019	—	`conf`	Using Malleable Task Scheduling to Accelerate Package Manager Installations. HUST/SE-HER/WIHPC@SC Samuel Knight, Jeremiah J. Wilke, Todd Gamblin
2018	J	`jnl`	Autotuning in High-Performance Computing Applications. Proc. IEEE Prasanna Balaprakash, Jack J. Dongarra, Todd Gamblin, Mary W. Hall, Jeffrey K. Hollingsworth, Boyana Norris, Richard W. Vuduc
2018	A	`conf`	Bootstrapping Parameter Space Exploration for Fast Tuning. ICS Jayaraman J. Thiagarajan, Nikhil Jain, Rushil Anirudh, Alfredo Giménez, Rahul Sridhar, Aniruddha Marathe, Tao Wang, Murali Emani, Abhinav Bhatele, Todd Gamblin
2018	J	`jnl`	MemAxes: Visualization and Analytics for Characterizing Complex Memory Performance Behaviors. IEEE Trans. Vis. Comput. Graph. Alfredo Giménez, Todd Gamblin, Ilir Jusufi, Abhinav Bhatele, Martin Schulz, Peer-Timo Bremer, Bernd Hamann
2018	A	`conf`	PADDLE: Performance Analysis Using a Data-Driven Learning Environment. IPDPS Jayaraman J. Thiagarajan, Rushil Anirudh, Bhavya Kailkhura, Nikhil Jain, Tanzima Z. Islam, Abhinav Bhatele, Jae-Seung Yeom, Todd Gamblin
2018	B	`conf`	PRIONN: Predicting Runtime and IO using Neural Networks. ICPP Michael R. Wyatt II, Stephen Herbein, Todd Gamblin, Adam Moody, Dong H. Ahn, Michela Taufer
2017	A	`conf`	Apollo: Reusable Models for Fast, Dynamic Tuning of Input-Dependent Code. IPDPS David Beckingsale, Olga Pearce, Ignacio Laguna, Todd Gamblin
2017	A	`conf`	DR-BW: Identifying Bandwidth Contention in NUMA Architectures with Supervised Learning. IPDPS Hao Xu, Shasha Wen, Alfredo Giménez, Todd Gamblin, Xu Liu
2017	A	`conf`	Partitioning Low-Diameter Networks to Eliminate Inter-Job Interference. IPDPS Nikhil Jain, Abhinav Bhatele, Xiang Ni, Todd Gamblin, Laxmikant V. Kalé
2017	A	`conf`	Performance modeling under resource constraints using deep transfer learning. SC Aniruddha Marathe, Rushil Anirudh, Nikhil Jain, Abhinav Bhatele, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Jae-Seung Yeom, Barry Rountree, Todd Gamblin
2017	A	`conf`	Predicting the performance impact of different fat-tree configurations. SC Nikhil Jain, Abhinav Bhatele, Louis H. Howell, David Böhme, Ian Karlin, Edgar A. León, Misbah Mubarak, Noah Wolfe, Todd Gamblin, Matthew L. Leininger
2017	—	`conf`	Projecting Performance Data over Simulation Geometry Using SOSflow and ALPINE. ESPT/VPA@SC Chad Wood, Matthew Larsen, Alfredo Giménez, Kevin A. Huck, Cyrus Harrison, Todd Gamblin, Allen D. Malony
2017	—	`conf`	REPPAR Keynote. IPDPS Workshops Todd Gamblin
2017	A	`conf`	ScrubJay: deriving knowledge from the disarray of HPC performance data. SC Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, Martin Schulz
2017	J	`jnl`	xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit. CoRR Roscoe A. Bartlett, Irina Demeshko, Todd Gamblin, Glenn Hammond, Michael A. Heroux, Jeffrey Johnson, Alicia M. Klinvex, Xiaoye S. Li, Lois Curfman McInnes, J. David Moulton, Daniel Osei-Kuffuor, Jason Sarich, Barry Smith, James M. Willenbring, Ulrike Meier Yang
2017	J	`jnl`	xSDK Foundations: Toward an Extreme-scale Scientific Software Development Kit. Supercomput. Front. Innov. Roscoe A. Bartlett, Irina Demeshko, Todd Gamblin, Glenn Hammond, Michael A. Heroux, Jeffrey Johnson, Alicia M. Klinvex, Xiaoye S. Li, Lois Curfman McInnes, J. David Moulton, Daniel Osei-Kuffuor, Jason Sarich, Barry Smith, James M. Willenbring, Ulrike Meier Yang
2016	—	`conf`	A Scalable Observation System for Introspection and In Situ Analytics. ESPT@SC Chad Wood, Sudhanshu Sane, Daniel A. Ellsworth, Alfredo Giménez, Kevin A. Huck, Todd Gamblin, Allen D. Malony
2016	—	`conf`	A Study of Failures in Community Clusters: The Case of Conte. ISSRE Workshops Subrata Mitra, Suhas Javagal, Amiya Kumar Maji, Todd Gamblin, Adam Moody, Stephen Lien Harrell, Saurabh Bagchi
2016	A	`conf`	A machine learning framework for performance coverage analysis of proxy applications. SC Tanzima Z. Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz, Todd Gamblin
2016	A	`conf`	Caliper: performance introspection for HPC software stacks. SC David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz
2016	A	`conf`	Evaluating HPC networks via simulation of parallel workloads. SC Nikhil Jain, Abhinav Bhatele, Sam White, Todd Gamblin, Laxmikant V. Kalé
2016	J	`jnl`	Evaluating and extending user-level fault tolerance in MPI applications. Int. J. High Perform. Comput. Appl. Ignacio Laguna, David F. Richards, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, Kathryn M. Mohror, Howard Pritchard
2016	—	`conf`	IPDRM Introduction and Committees. IPDPS Workshops Shuaiwen Leon Song, Todd Gamblin
2016	A	`conf`	MPMD Framework for Offloading Load Balance Computation. IPDPS Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy M. Amato
2016	C	`conf`	Machine Learning Predictions of Runtime and IO Traffic on High-End Clusters. CLUSTER Ryan McKenna, Stephen Herbein, Adam Moody, Todd Gamblin, Michela Taufer
2016	—	`conf`	Managing Combinatorial Software Installations with Spack. HUST@SC Gregory Becker, Peter Scheibel, Matthew P. LeGendre, Todd Gamblin
2016	J	`jnl`	Ordering Traces Logically to Identify Lateness in Message Passing Programs. IEEE Trans. Parallel Distributed Syst. Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer
2016	—	`conf`	VIPACT: A Visualization Interface for Analyzing Calling Context Trees. VPA@SC Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Böhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer
2016	—	`conf`	VarSys Introduction. IPDPS Workshops Kirk W. Cameron, Todd Gamblin, Dimitrios S. Nikolopoulos
2015	J	`jnl`	Connecting Performance Analysis and Visualization (Dagstuhl Perspectives Workshop 14022). Dagstuhl Manifestos Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz, Todd Gamblin, Holger Brunst
2015	J	`jnl`	Debugging high-performance computing applications at massive scales. Commun. ACM Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Martin Schulz, Saurabh Bagchi, Milind Kulkarni, Bowen Zhou, Zhezhe Chen, Feng Qin
2015	B	`conf`	Decoupled load balancing. PPoPP Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy M. Amato
2015	J	`jnl`	Diagnosis of Performance Faults in LargeScale MPI Applications via Probabilistic Progress-Dependence Inference. IEEE Trans. Parallel Distributed Syst. Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin
2015	A	`conf`	Identifying the Culprits Behind Network Congestion. IPDPS Abhinav Bhatele, Andrew R. Titus, Jayaraman J. Thiagarajan, Nikhil Jain, Todd Gamblin, Peer-Timo Bremer, Martin Schulz, Laxmikant V. Kalé
2015	—	`ed.`	Proceedings of the Second International Workshop on HPC User Support Tools, HUST 2015, Austin, Texas, USA, November 15, 2015 HUST@SC Chris Bording, Todd Gamblin, Vera Hansper
2015	A	`conf`	Recovering logical structure from Charm++ event traces. SC Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, Peer-Timo Bremer
2015	—	`conf`	Relating memory performance data to application domain data using an integration API. VPA@SC Benafsh Husain, Alfredo Giménez, Joshua A. Levine, Todd Gamblin, Peer-Timo Bremer
2015	A	`conf`	The Spack package manager: bringing order to HPC software chaos. SC Todd Gamblin, Matthew P. LeGendre, Michael R. Collette, Gregory L. Lee, Adam Moody, Bronis R. de Supinski, Scott Futral
2014	B	`conf`	A User-Level InfiniBand-Based File System and Checkpoint Strategy for Burst Buffers. CCGRID Kento Sato, Kathryn M. Mohror, Adam Moody, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, Satoshi Matsuoka
2014	A*	`conf`	Accurate application progress analysis for large-scale parallel debugging. PLDI Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, Todd Gamblin
2014	J	`jnl`	Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time. IEEE Trans. Vis. Comput. Graph. Katherine E. Isaacs, Peer-Timo Bremer, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann
2014	A	`conf`	Dissecting On-Node Memory Access Performance: A Semantic Approach. SC Alfredo Giménez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Peer-Timo Bremer, Bernd Hamann
2014	—	`conf`	Evaluating User-Level Fault Tolerance for MPI Applications. EuroMPI/ASIA Ignacio Laguna, David F. Richards, Todd Gamblin, Martin Schulz, Bronis R. de Supinski
2014	B	`conf`	Extracting logical structure and identifying stragglers in parallel execution traces. PPoPP Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, Bernd Hamann
2014	A	`conf`	FMI: Fault Tolerant Messaging Interface for Fast and Transparent Recovery. IPDPS Kento Sato, Adam Moody, Kathryn M. Mohror, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, Satoshi Matsuoka
2014	A	`conf`	Load balancing n-body simulations with highly non-uniform density. ICS Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Tom Arsenlis, Nancy M. Amato
2014	Misc	`conf`	Optimizing the performance of parallel applications on a 5D torus via task mapping. HiPC Abhinav Bhatele, Nikhil Jain, Katherine E. Isaacs, Ronak Buch, Todd Gamblin, Steven H. Langer, Laxmikant V. Kalé
2014	—	`conf`	State of the Art of Performance Visualization. EuroVis (STARs) Katherine E. Isaacs, Alfredo Giménez, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, Peer-Timo Bremer
2013	A	`conf`	Efficient and Scalable Retrieval Techniques for Global File Properties. IPDPS Dong H. Ahn, Michael J. Brim, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Matthew P. LeGendre, Barton P. Miller, Adam Moody, Martin Schulz
2013	A	`conf`	Massively parallel loading. ICS Wolfgang Frings, Dong H. Ahn, Matthew P. LeGendre, Todd Gamblin, Bronis R. de Supinski, Felix Wolf
2013	J	`jnl`	Parallelizing heavyweight debugging tools with mpiecho. Parallel Comput. Barry Rountree, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, David K. Lowenthal, Guy Cobb, Henry M. Tufo
2013	—	`conf`	Performance Analysis Techniques for the Exascale Co-Design Process. PARCO Martin Schulz, James F. Belak, Abhinav Bhatele, Peer-Timo Bremer, Greg Bronevetsky, Marc Casas, Todd Gamblin, Katherine E. Isaacs, Ignacio Laguna, Joshua A. Levine, Valerio Pascucci, David F. Richards, Barry Rountree
2013	A	`conf`	Predicting application performance using supervised learning on communication features. SC Nikhil Jain, Abhinav Bhatele, Michael P. Robson, Todd Gamblin, Laxmikant V. Kalé
2013	J	`jnl`	Trellis: Portability across architectures with a high-level framework. J. Parallel Distributed Comput. Lukasz G. Szafaryn, Todd Gamblin, Bronis R. de Supinski, Kevin Skadron
2012	—	`conf`	Abstract: Evaluating Topology Mapping via Graph Partitioning. SC Companion Anshu Arya, Todd Gamblin, Bronis R. de Supinski, Laxmikant V. Kalé
2012	—	`conf`	Abstract: Exploring Performance Data with Boxfish. SC Companion Katherine E. Isaacs, Aaditya G. Landge, Todd Gamblin, Peer-Timo Bremer, Valerio Pascucci, Bernd Hamann
2012	—	`conf`	Abstract: Slack-Conscious Lightweight Loop Scheduling for Improving Scalability of Bulk-synchronous MPI Applications. SC Companion Vivek Kale, Todd Gamblin, Torsten Hoefler, Bronis R. de Supinski, William D. Gropp
2012	A	`conf`	Design and modeling of a non-blocking checkpointing system. SC Kento Sato, Naoya Maruyama, Kathryn M. Mohror, Adam Moody, Todd Gamblin, Bronis R. de Supinski, Satoshi Matsuoka
2012	A	`conf`	Mapping applications with collectives over sub-communicators on torus networks. SC 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	J	`jnl`	Memory Trace Compression and Replay for SPMD Systems Using Extended PRSDs. Comput. J. Sandeep Budanur, Frank Mueller, Todd Gamblin
2012	A	`conf`	Novel views of performance data to analyze large-scale adaptive applications. SC Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann
2012	—	`conf`	Poster: Evaluation Topology Mapping via Graph Partitioning. SC Companion Anshu Arya, Todd Gamblin, Bronis R. de Supinski, Laxmikant V. Kalé
2012	B	`conf`	Probabilistic diagnosis of performance faults in large-scale parallel applications. PACT Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, Todd Gamblin
2012	A	`conf`	Quantifying the effectiveness of load balance algorithms. ICS Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy M. Amato
2012	C	`conf`	The myrmics memory allocator: hierarchical, message-passing allocation for global address spaces. ISMM Spyros Lyberis, Polyvios Pratikakis, Dimitrios S. Nikolopoulos, Martin Schulz, Todd Gamblin, Bronis R. de Supinski
2012	J	`jnl`	Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. IEEE Trans. Vis. Comput. Graph. Aaditya G. Landge, Joshua A. Levine, Abhinav Bhatele, Katherine E. Isaacs, Todd Gamblin, Martin Schulz, Steve H. Langer, Peer-Timo Bremer, Valerio Pascucci
2011	A	`conf`	Challenges of Scaling Algebraic Multigrid Across Modern Multicore Architectures. IPDPS Allison H. Baker, Todd Gamblin, Martin Schulz, Ulrike Meier Yang
2011	—	`conf`	Creating a Tool Set for Optimizing Topology-Aware Node Mappings. Parallel Tools Workshop Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine E. Isaacs, Joshua A. Levine, Valerio Pascucci
2011	B	`conf`	Interpreting Performance Data across Intuitive Domains. ICPP Martin Schulz, Joshua A. Levine, Peer-Timo Bremer, Todd Gamblin, Valerio Pascucci
2011	A	`conf`	Large scale debugging of parallel tasks with AutomaDeD. SC Ignacio Laguna, Todd Gamblin, Bronis R. de Supinski, Saurabh Bagchi, Greg Bronevetsky, Dong H. Ahn, Martin Schulz, Barry Rountree
2011	J	`jnl`	Memory Trace Compression and Replay for SPMD Systems using Extended PRSDs? SIGMETRICS Perform. Evaluation Rev. Sandeep Budanur, Frank Mueller, Todd Gamblin
2011	A	`conf`	Reconciling Sampling and Direct Instrumentation for Unintrusive Call-Path Profiling of MPI Programs. IPDPS Zoltán Szebenyi, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, Felix Wolf, Brian J. N. Wylie
2010	A	`conf`	Clustering performance data efficiently at massive scales. ICS Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, Daniel A. Reed
2010	—	`conf`	ScalaTrace: Tracing, Analysis and Modeling of HPC Codes at Scale. PARA (2) Frank Mueller, Xing Wu, Martin Schulz, Bronis R. de Supinski, Todd Gamblin
2010	—	`conf`	Scaling Algebraic Multigrid Solvers: On the Road to Exascale. CHPC Allison H. Baker, Robert D. Falgout, Todd Gamblin, Tzanio V. Kolev, Martin Schulz, Ulrike Meier Yang
2009	—	`—`	Scalable performance measurement and analysis. Todd Gamblin
2008	A	`conf`	Scalable load-balance measurement for SPMD codes. SC Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, Daniel A. Reed
2008	A	`conf`	Scalable methods for monitoring and detecting behavioral equivalence classes in scientific codes. IPDPS Todd Gamblin, Robert J. Fowler, Daniel A. Reed
2006	Misc	`conf`	Challenges of Scale: When All Computing Becomes Grid Computing. High Performance Computing Workshop Robert J. Fowler, Todd Gamblin, Gopi Kandaswamy, Anirban Mandal, Allan Porterfield, Lavanya Ramakrishnan, Daniel A. Reed