Todd Gamblin


Email: tgamblin@llnl.gov
Phone: 925-422-9319


Todd is a computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. His research focuses on scalable tools for measuring, analyzing, and visualizing performance data from massively parallel applications. Todd is also involved with many production projects at LLNL. He works with Livermore Computing’s Development Environment Group to build tools that allow users to deploy, run, debug, and optimize their software for machines with million-way concurrency.

Todd received his Ph.D. in computer science from the University of North Carolina at Chapel Hill in 2009. His dissertation investigated parallel methods for compressing and sampling performance measurements from hundreds of thousands of concurrent processors. He received his B.A. in Computer Science and Japanese from Williams College in 2002. He has also worked as a software developer in Tokyo and held research internships at the University of Tokyo and IBM Research.

Curriculum Vitae

Todd's full CV is available here.

Personal Website

Todd maintains a personal website at tgamblin.github.io.
This website is not affiliated with or sponsored by LLNL.

Software Projects

See the following pages for open source software projects Todd is involved in:

Publications

Conference & Journal Papers

  1. Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Martin Schulz, Saurabh Bagchi, Milind Kulkarni, Bowen Zhou, Zhezhe Chen, and Feng Qin. Debugging high-performance computing applications at massive scales. Communications of the ACM, 2014. LLNL-JRNL-652400. To appear.
  2. Abhinav Bhatele, Nikhil Jain, Katherine Isaacs, Ronak Buch, Todd Gamblin, Steven H. Langer, and Laxmikant V. Kale. Optimizing the performance of parallel applications on a 5D torus via task mapping. In International Conference on High Performance Computing (HiPC'14), Goa, India, December 17-20 2014. LLNL-CONF-655465.
  3. Alfredo Giménez, Todd Gamblin, Barry Rountree, Abhinav Bhatele, Ilir Jusufi, Bernd Hamann, and Peer-Timo Bremer. Dissecting On-Node Memory Access Performance: A Semantic Approach. In Supercomputing 2014 (SC'14), New Orleans, LA, November 16-21 2014. LLNL-CONF-658626.
  4. Katherine E. Isaacs, Peer-Timo Bremer, Ilir Jusufi, Todd Gamblin, Abhinav Bhatele, Martin Schulz, and Bernd Hamann. Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time. In IEEE Symposium on Information Visualization (INFOVIS'14), Paris, France, November 9-14 2014. LLNL-JRNL-657418.
  5. Ignacio Laguna, David F. Richards, Todd Gamblin, Martin Schulz, and Bronis R. de Supinski. Evaluating User-Level Fault Tolerance for MPI Applications. In EuroMPI/Asia 2014, Kyoto, Japan, September 9-12 2014. LLNL-CONF-656877.
  6. Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Tom Arsenlis, and Nancy M. Amato. Load Balancing N-body Simulations with Highly Non-Uniform Density. In International Conference on Supercomputing (ICS'14), Munich, Germany, June 10-13 2014. LLNL-CONF-648577.
  7. Katherine E. Isaacs, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Alfredo Gimenez, Bernd Hamann, Ilir Jusufi, and Martin Schulz. State of the Art of Performance Visualization. In R. Borgo, R. Maciejewski, and I. Viola, editors, Eurographics Conference on Visualization (EuroVis'14), Swansea, Wales, UK, June 9-13 2014. LLNL-CONF-652873.
  8. Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, and Todd Gamblin. Accurate application progress analysis for large-scale parallel debugging. In Programming Langauge Design and Implementation (PLDI'14), Edinburgh, UK, June 9-11 2014. LLNL-CONF-646258.
  9. Kento Sato, Kathryn Mohror, Adam Moody, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, and Satoshi Matsuoka. A user-level infiniband-based file system and checkpoint strategy for burst buffers. In IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid'14), Chicago, IL, May 26-29, 2014 2014.
  10. Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, and Todd Gamblin. Diagnosis of performance faults in large scale mpi applications via probabilistic progress-dependence inference. IEEE Transactions on Parallel and Distributed Systems (TPDS), May 22 2014. LLNL-JRNL-643939.
  11. Kento Sato, Adam Moody, Kathryn Mohror, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, and Satoshi Matsuoka. Fmi: Fault tolerant messaging interface for fast and transparent recovery. In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'14), Phoenix, AZ, May 19-23 2014. LLNL-CONF-645209.
  12. Nikhil Jain, Abhinav Bhatele, Michael P. Robson, Todd Gamblin, and Laxmikant V. Kale. Predicting application performance using supervised learning on communication features. In Supercomputing 2013 (SC'13), Denver, CO, November 17-22 2013.
  13. Lukasz G. Szafaryn, Todd Gamblin, Bronis R. de Supinski, and Kevin Skadron. Trellis: Portability across architectures with a high-level framework. J. Parallel Distrib. Comput., 73(10):1400–1413, July 18 2013.
  14. Wolfgang Frings, Dong H. Ahn, Matthew LeGendre, Todd Gamblin, Bronis R. de Supinski, and Felix Wolf. Massively parallel loading. In International Conference on Supercomputing (ICS'13), Eugene, OR, June 10-14 2013. LLNL-CONF-610893.
  15. Dong H. Ahn, Michael J. Brim, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Matthew P. LeGendre, Barton P. Miller, Adam Moody, and Martin Schulz. Efficient and Scalable Retrieval Techniques for Global File Properties. In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'13), Boston, MA, May 20-24 2013. LLNL-PROC-554055.
  16. Barry Rountree, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, David K. Lowenthal, Guy Cobb, and Henry Tufo. Parallelizing heavyweight debugging tools with MPIEcho. Parallel Computing, 39(3):156–166, March 2013.
  17. Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, and Bernd Hamann. Novel views of performance data to analyze large-scale adaptive applications. In Supercomputing 2012 (SC'12), Salt Lake City, UT, November 10-16 2012. LLNL-CONF-554552.
  18. Abhinav Bhatele, Todd Gamblin, Steven H. Langer, Peer-Timo Bremer, Erik W. Draeger, Bernd Hamann, Katherine E. Isaacs, Aaditya G. Landge, Joshua A. Levine, Valerio Pascucci, Martin Schulz, and Charles H. Still. Mapping applications with collectives over sub-communicators on torus networks. In Supercomputing 2012 (SC'12), Salt Lake City, UT, November 10-16 2012. LLNL-CONF-556491.
  19. Kento Sato, Adam Moody, Kathryn Mohror, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, and Satoshi Matsuoka. Design and modeling of a non-blocking checkpointing system. In Supercomputing 2012 (SC'12), Salt Lake City, UT, November 10-16 2012. LLNL-CONF-554431.
  20. Aaditya G. Landge, Joshua A. Levine, Katherine E. Isaacs, Abhinav Bhatele, Todd Gamblin, Martin Schulz, Steven H. Langer, Peer-Timo Bremer, and Valerio Pascucci. Visualizing network traffic to understand the performance of massively parallel simulations. In IEEE Symposium on Information Visualization (INFOVIS'12), Seattle, WA, October 14-19 2012. LLNL-CONF-543359.
  21. Ignacio Laguna, Dong H. Ahn, Bronis R. de Supinski, Saurabh Bagchi, and Todd Gamblin. Probabilistic diagnosis of performance faults in large scale parallel applications. In International Conference on Parallel Architectures and Compilation Techniques (PACT'12), Minneapolis, MN, September 19-23 2012. LLNL-PROC-548642.
  22. Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, and Nancy M. Amato. Quantifying the Effectiveness of Load Balance Algorithms. In International Conference on Supercomputing (ICS'12), Venice, Italy, June 25-29 2012. LLNL-CONF- 523343.
  23. Spyros Lyberis, Polyvios Pratikakis, Dimitrios Nikolopoulos, Martin Schulz, Todd Gamblin, and Bronis de Supinski. The myrmics memory allocator: Hierarchical, message-passing allocation for global address spaces. In International Symposium on Memory Management (ISMM'12), Beijing, China, June 15-16 2012. LLNL-CONF-545875.
  24. Sandeep Budanur, Frank Mueller, and Todd Gamblin. Memory Trace Compression and Replay for SPMD Systems using Extended PRSDs. Computer Journal, 55(2):206–217, February 2012. LLNL-CONF-460598.
  25. Allison H. Baker, Robert D. Falgout, Todd Gamblin, Tzanio V. Kolev, Martin Schulz, and Ulrike Meier Yang. Scaling Algebraic Multigrid Solvers: On the Road to Exascale. Competence in High Performance Computing (CiHPC), Dec 2011. LLNL-PROC-463941.
  26. Ignacio Laguna, Todd Gamblin, Bronis R. de Supinski, Saurabh Bagchi, Greg Bronevetsky, Dong H. Ahn, Martin Schulz, and Barry Rountree. Large scale debugging of parallel tasks with AutomaDeD. In Supercomputing 2011 (SC'11), Seattle, WA, November 12-18 2011. LLNL-CONF-486911.
  27. Martin Schulz, Joshua A. Levine, Peer-Timo Bremer, Todd Gamblin, and Valerio Pascucci. Interpreting performance data across intuitive domains. In International Conference on Parallel Processing (ICPP'11), Taipei, Taiwan, September 13-16 2011. LLNL-CONF-476091.
  28. Allison H. Baker, Todd Gamblin, Martin Schulz, and Ulrike Meier Yang. Challenges of Scaling Algebraic Multigrid across Modern Multicore Architectures. In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'11), Anchorage, Alaska, May 16-20 2011. LLNL-CONF- 458074.
  29. Zoltan Szebenyi, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, Felix Wolf, and Brian J. N. Wylie. Reconciling sampling and direct instrumentation for unintrusive call-path profiling of MPI programs. In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'11), Anchorage, Alaska, May 16-20 2011. LLNL-CONF-468224.
  30. Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, and Daniel A. Reed. Clustering performance data efficiently at massive scales. In International Conference on Supercomputing (ICS'10), Tsukuba, Japan, June 1-4 2010. LLNL-CONF-422684.
  31. Bronis R. de Supinski, Sadaf Alam, David H. Bailey, Laura Carrington, Chris Daley, Anshu Dubey, Todd Gamblin, Dan Gunter, Paul D. Hovland, Heike Jagode, Karen Karavanic, Gabriel Marin, John Mellor-Crummey, Shirley Moore, Boyana Norris, Leonid Oliker, Catherine Olschanowsky, Philip C. Roth, Martin Schulz, Sameer Shende, Allan Snavely, Wyatt Spear, Mustafa Tikir, Jeff Vetter, Pat Worley, and Nicholas Wright. Modeling the office of science ten year facilities plan: The PERI architecture tiger team. Journal of Physics: Conference Series, SciDAC 2009, 2009. LLNL-CONF-413427.
  32. Robert J. Fowler, Laksono Adhianto, Bronis R. de Supinski, Mike Fagan, Todd Gamblin, Mark Krentel, John Mellor-Crummey, Martin Schulz, and Nathan Tallent. Frontiers of performance analysis on leadership class systems. Journal of Physics: Conference Series, SciDAC 2009, 2009. LLNL-CONF-413969.
  33. Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, and Daniel A. Reed. Scalable load-balance measurement for SPMD codes. In Supercomputing 2008 (SC'08), Austin, Texas, November 15-21 2008. LLNL-CONF-406045.
  34. Robert J. Fowler, Todd Gamblin, Allan K. Porterfield, Patrick Dreher, Song Huang, and Balint Joo. Performance engineering challenges: The view from RENCI. Journal of Physics: Conference Series, SciDAC 2008, 125:5, August 2008.
  35. Todd Gamblin, Robert J. Fowler, and Daniel A. Reed. Scalable methods for monitoring and detecting behavioral classes in scientific codes. In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'08), Miami, FL, April 14-18 2008.

 

Workshop Papers & Technical Reports

  1. Todd Gamblin, Martin Schulz, Timo Bremer, and Abhinav Bhatele. Building models from measurement with multi-domain correlation. In DOE Workshop on Modeling & Simulation of Exascale Systems & Applications (ModSim 2013), Seattle, WA, September 18-19 2013. LLNL-CONF-639760.
  2. Abhinav Bhatele and Todd Gamblin. OS/Runtime challenges for dynamic topology aware mapping. In U.S. Department of Energy Exascale Operating Systems and Runtime Research Workshop (ExaOSR), Washington, DC, October 2012. LLNL-MI-563334.
  3. Kento Sato, Adam Moody, Kathryn Mohror, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, and Satoshi Matsuoka. Towards a light-weight non-blocking checkpointing system. In HPC in Asia Workshop 2012, Hamburg, Germany, June 17 2012.
  4. Kento Sato, Adam Moody, Kathryn Mohror, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, and Satoshi Matsuoka. Design and modeling of a non-blocking checkpoint system. In ATIP - A*CRC Workshop on Accelerator Technologies in High Performance Computing, May 7-10 2012.
  5. Steven Langer, Abhinav Bhatele, Todd Gamblin, Bert Still, Denise Hinkel, Mike Kumbera, Bruce Langdon, and Ed Williams. Simulating Laser-Plasma Interaction in Experiments at the National Ignition Facility on a Cray XE6. In Cray Users Group (CUG 2012), Stuttgart, Germany, April 29-May 3 2012. LLNL-PROC-547711.
  6. Kento Sato, Adam Moody, Kathryn Mohror, Todd Gamblin, Bronis R. de Supinski, Naoya Maruyama, and Satoshi Matsuoka. Towards an asynchronous checkpointing system. In IPSJ SIG Technical Reports 2011-ARC-197 2011-HPC-132 (HOKKE-19), November 2011. LLNL-CONF-509152.
  7. Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine Isaacs, Joshua Levine, and Valerio Pascucci. Creating a Tool Set for Optimizing Topology-aware Node Mappings. In 5th ZIH Parallel Tools Workshop, Dresden, Germany, September 26-27 2011. LLNL-CONF-402937.
  8. Todd Gamblin, Martin Schulz, Peer-Timo Bremer, Joshua A. Levine, and Valerio Pascucci. Intuitive performance visualization techniques for topological analysis on capability machines. In Kagoshima Summer United Workshops on Parallel, Distributed, and Cooperative Processing, Kagoshima, Japan, July 26-29 2011. LLNL-CONF- 490044.
  9. Barry Rountree, Guy Cobb, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, and Henry Tufo. Parallelizing heavyweight debugging tools with MPIecho. In Workshop on High-performance Infrastructure for Scalable Tools (WHIST'11), Tucson, Arizona, June 4 2011. LLNL-CONF-481092.
  10. Lukasz G. Szafaryn, Todd Gamblin, Bronis R. de Supinski, and Kevin Skadron. Experiences with achieving portability across heterogeneous architectures. In Workshop on Domain-Specific Languages and High-Level Frameworks for High Performance Computing (WOLFHPC'11), Tucson, Arizona, May 31 2011. LLNL-CONF-486291.
  11. Sandeep Budanur, Frank Mueller, and Todd Gamblin. Memory Trace Compression and Replay for SPMD Systems using Extended PRSDs. In First International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS'10), New Orleans, LA, November 15 2010. LLNL-CONF-460598.
  12. Frank Mueller, Xing Wu, Martin Schulz, Todd Gamblin, and Bronis R. de Supinski. ScalaTrace: Tracing, analysis and modeling of HPC codes at scale. In Para 2010, Reykjavik, Iceland, June 6-9 2010. LLNL-CONF-427005.
  13. Bronis R. de Supinski, Robert J. Fowler, Todd Gamblin, Frank Mueller, Martin Schulz, and Prasun Ratn. An open framework for scalable, reconfigurable analysis. In International Workshop on Scalable Tools for High-End Computing (STHEC), Kos, Greece, June 7-12 2008. LLNL-CONF-403954.
  14. Francisco Chinchilla, Todd Gamblin, Morten Sommervoll, and Jan F. Prins. Parallel N-body simulation using GPUs. Technical Report TR04-032, University of North Carolina at Chapel Hill, December 2004.

 

Book Chapters & Articles

  1. Martin Schulz, Jim Belak, Abhinav Bhatele, Peer-Timo Bremer, Greg Bronevetsky, Marc Casas, Todd Gamblin, Katherine E. Isaacs, Ignacio Laguna, Joshua Levine, Valerio Pascucci, David Richards, and Barry Rountree. Performance Analysis Techniques for the Exascale Co-Design Process. In Michael Bader, Arndt Bode, Hans-Joachim Bungartz, Michael Gerndt, Gerhard R. Joubert, and Frans Peters, editors, Parallel Computing: Accelerating Computational Science and Engineering, volume 25 of Advances in Parallel Computing, pages 19–32. IOS Press, 2014. LLNL-CONF-645777.
  2. Nathan R. Tallent and Todd Gamblin, editors. Special Issue on High-performance Infrastructure for Scalable Tools, volume 39(3) of Parallel Computing: Systems & Applications. March 2013.
  3. Todd Gamblin. Collaboration Leads to Advances in Power Grid Modeling. In 2010 Computation Annual Report, page 32. Lawrence Livermore National Laboratory, 2010. LLNL-TR-470873.
  4. Robert J. Fowler, Todd Gamblin, Gopi Kandaswamy, Anirban Mandal, Allan K. Porterfield, Lavanya Ramakrishnan, and Daniel A. Reed. Challenges of scale: When all computing becomes grid computing. In Lucio Grandinetti, editor, High Performance Computing and Grids in Action, volume 16 of Advances in Parallel Computing, pages 186–206. IOS Press, Amsterdam, 2007.

 

Ph.D. Dissertation

  1. Todd Gamblin. Scalable Performance Measurement and Analysis. PhD thesis, University of North Carolina at Chapel Hill, Chapel Hill, NC, August 2009. LLNL-TH-419482.

 

Posters & Presentations

  1. John Gyllenhaal, Todd Gamblin, Adam Bertsch, and Roy Musselman. Enabling High Job Throughput for Uncertainty Quantification on BG/Q. In IBM HPC Systems Scientific Computing User Group (ScicomP'14), Chicago, IL, 2014.
  2. Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Peer-Timo Bremer, Martin Schulz, and Bernd Hamann. Extracting logical structure and identifying stragglers in parallel execution traces. In ACM SIGPLAN Symposium on Principles and Practices of Parallel Programming (PPoPP'14), Orlando, FL, February 15-19 2014. LLNL-ABS-647655.
  3. Anshu Arya, Todd Gamblin, Bronis R. de Supinski, and Laxmikant V. Kale. Evaluating topology mapping via graph partitioning. In Supercomputing 2012 (SC'12), Salt Lake City, UT, November 10-16 2012. LLNL-POST-491398.
  4. Katherine E. Isaacs, Aaditya G. Landge, Todd Gamblin, Peer-Timo Bremer, Valerio Pascucci, and Bernd Hamann. Exploring performance data with boxfish. In Supercomputing 2012 (SC'12), Salt Lake City, UT, November 10-16 2012.
  5. Vivek Kale, Todd Gamblin, Torsten Hoefler, Bronis R. de Supinski, and William Gropp. Slack-conscious lightweight loop scheduling for scaling past the noise amplification problem. In Supercomputing 2012 (SC'12), Salt Lake City, UT, November 10-16 2012.
  6. Brian T. N. Gunney, Abhinav Bhatele, and Todd Gamblin. Tree-based load balancer in the SAMRAI framework. In SIAM Annual Meeting, Minneapolis, MN, July 9-14 2012. LLNL-PRES-562671.
  7. Aaditya Landge, Joshua A. Levine, Peer-Timo Bremer, Martin Schulz, Todd Gamblin, Abhinav Bhatele, Katherine Isaacs, and Valerio Pascucci. Interactive Visualizations for Performance Analysis of Heterogeneous Computing Clusters. In GPU Technology Confernence (GTC'12), San Jose, CA, May 14-17 2012.
  8. Abhinav Bhatele, Todd Gamblin, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, and Katherine Isaacs. Revealing Performance Artifacts in Parallel Codes Through Multi-Domain Visualizations. In SIAM Conference on Parallel Processing for Scientific Computing (PP12), Savannah, Georgia, USA, February 15-17 2012. LLNL-ABS-518731.
  9. Olga Pearce, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, and Nancy M. Amato. Load Balance: Correlating Application-Independent Measurements with Application-Semantic Computational Models. In Supercomputing 2010 (SC'10), New Orleans, LA, November 13-19 2010. LLNL-POST-442731.
  10. Allison H. Baker, Todd Gamblin, Martin Schulz, and Ulrike Yang. Algebraic multigrid for multicore architectures. In SIAM Annual Meeting, Pittsburgh, PA, July 12-16 2010. LLNL-PRES-435936.
  11. Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, and Daniel A. Reed. Clustering performance data efficiently at massive scales. In LLNL Computation Postdoctoral Poster Session, Livermore, CA, June 29 2010. LLNL-POST-433541.
  12. Todd Gamblin. Preparing for Exascale: System Software and Tools Research at LLNL. In Global Scientific Information and Computing Seminar, Tokyo Institute of Technology, Tokyo, Japan, June 11 2010. LLNL-PRES-434295.
  13. Todd Gamblin. Load Balance Analysis with Libra. In Proceedings of the Dagstuhl Seminar on Program Development for Extreme-Scale Computing, Dagstuhl, Germany, May 3-7 2010. LLNL-PRES-431860.
  14. Todd Gamblin. Scalable In-situ Analysis Techniques. In Proceedings of the Dagstuhl Seminar on Program Development for Extreme-Scale Computing, Dagstuhl, Germany, May 3-7 2010. LLNL-POST-433541.
  15. Todd Gamblin. Infrastructure challenges for scalable data analysis algorithms. In ParaDyn/Condor Week 2010, Madison, WI, April 12-16 2010. University of Wisconsin. LLNL-PRES-408863.
  16. Todd Gamblin, Bronis R. de Supinski, and Martin Schulz. Performance modeling and analysis at LLNL. In Proceedings of Joint Operations Weapons Operations Group 34 (JOWOG34), Sandia National Laboratories, Albuquerque, NM, July 20-24 2009. LLNL-PRES-463247.
  17. Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, and Daniel A. Reed. System-wide performance equivalence class detection using clustering. In Supercomputing 2008 (SC'08), Austin, TX, November 15-21 2008. LLNL-POST-408815.
  18. Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, and Daniel A. Reed. Scalable Load Balance Measurement Using Wavelets. In The Salishan Conference on High-Speed Computing, Gleneden Beach, OR, April 21-24 2008. LLNL-POST-463395.
  19. Todd Gamblin. Scalable load-balance measurement and analysis. In SIAM Conference on Parallel Processing for Scientific Computing (PP08), Atlanta, GA, March 12-14 2008.
  20. Todd Gamblin, Prasun Ratn, Bronis R. de Supinski, Martin Schulz, Frank Mueller, Robert J. Fowler, and Daniel A. Reed. An open framework for scalable, reconfigurable performance analysis. In Supercomputing 2007 (SC'07), Reno, NV, November 10-16 2007. UCRL-POST-236200.
  21. Todd Gamblin, Robert J. Fowler, and Daniel A. Reed. Methods for automatic behavioral stratification in scientific codes. In Proceedings of the 7th LACSI Symposium, Santa Fe, NM, October 17-19 2006.
  22. Todd Gamblin and Daniel A. Reed. Adaptive performance monitoring and profiling in large-scale systems. In Proceedings of the 6th LACSI Symposium, Santa Fe, NM, October 11-13 2005.