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Technical University of Munich

Prof. Dr. rer. nat. Martin Schulz

Technische Universität München Informatik 10
Lehrstuhl für Rechnerarchitektur & Parallele Systeme

Postadresse Boltzmannstr. 3

Raum 01.04.40
85748 Garching b. München

Email: schulzm(at)in.tum.de
Tel.: +49 89 289-17659
Fax: +49 89 289-17662 

Vita

Martin Schulz is a Full Professor and Chair for Computer Architecture and Parallel Systems at the Technische Universität München (TUM), which he joined in 2017, as well as a member of the board of directors at the Leibniz Supercomputing Centre. Prior to that, he held positions at the Center for Applied Scientific Computing (CASC) at Lawrence Livermore National Laboratory (LLNL) and Cornell University. He earned his Doctorate in Computer Science in 2001 from TUM and a Master of Science in Computer Science from UIUC.

Martin's research interests include parallel and distributed architectures and applications; performance monitoring, modeling and analysis; memory system optimization; parallel programming paradigms; tool support for parallel programming; power-aware parallel computing; and fault tolerance at the application and system level, as well as quantum computing and quantum computing architectures and programming, with a special focus on HPC and QC integration.

Martin has published over 250 peer-reviewed papers and currently serves as the chair of the MPI Forum, the standardization body for the Message Passing Interface, one of the dominating standard in High-Performance Computing. He was a recipient of the IEEE/ACM Gordon Bell Award in 2006 and an R&D 100 award in 2011. He served on many conference and workshop organizing and program committees, including as program chair for ISC 2021, PC area chair at IPDPS 2021 and general chair of EuroMPI 2021. 

Link to Google Scholar.

Honors and Organziation

  • Member, R&D 100 Winning team for the Stack Trace Analysis Tool (STAT), 2011
  • ACM Service Award 2009
  • Member, Gordon Bell Prize Winning Team, 2006
  • Best Paper Software Track at IPDPS 2013,
  • Nominated for best student and best paper at SC 2013
  • Best Student Paper at SC 2012 (also nominated for best paper)
  • Best Paper Software Track at IPDPS 2007
  • Best Paper at PADTAD – IV 2006
  • Member of the Institute for Electrical and Electronics Engineers (IEEE) and IEEE Computer Society
  • Member of the Association of Computing Machinery (ACM) and SIGHPC

Selected Academic Service

  • Program Chair, International Supercomputing Conference (ISC), 2021
  • Program Deputy Chair, International Supercomputing Conference (ISC), 2020
  • Program Co-Chair for Cluster 2019
  • Program Co-Chair for Computing Frontiers 2019
  • Program Co-Chair for ICPP 2019
  • Track Chair for Performance for ICPP 2018
  • Vice Chair for Programming Models and Runtime, CCGrid 2018
  • Vice Co-Chair for Mathematics and Computerscience, PASC 2018
  • Track Chair for Computer Architecture and Networks, ISC 2018
  • Co-Chair for the Workshop on Extreme Scale Programming Tools (ESPT) 2017
  • Program Co-Chair for ARCS 2017
  • Subject Area Editor, Journal for Parallel Computing – Systems and Applications
  • Vice Chair for Performance Modeling and Evaluation, CCGrid 2013/2016
  • Co-Organizer of the Workshop on Visual Performance Analysis, November 2014-2016
  • Co-Organizer of Workshop on Extreme-Scale Programming Tools, November 2015/2016
  • Co-Organizer of 1st Workshop on Software Frameworks for Scalable Scientific Simulations, July 2015
  • Global Chair for “Green High Performance Computing” at Euro-Par 2014
  • Co-PC Chair: International Conference on Supercomputing (ICS) 2014
  • Co-Organizer of VAPLS Workshop, held with IEEE Vis, October 2013
  • Area Chair for Performance, SC 2011
  • General Chair, PACT 2009
  • Program Chair, Workshop on Productivity and Performance (PROPER) 2013
  • Steering Committee of PACT (2009-2011)
  • Steering Committee of HIPS (2000-now)
  • Steering Committee of VPA (2014-now)
  • Member of a large number of program committees, incl. PPoPP 2016/2015/2012; PACT 2016/2014/2012; ASPLOS 2012/2016; Supercomputing 2007/2010-2014 (papers) & 2008/09 (tutorials) & 2015/16 (doctoral showcase); IPDPS 2007-2009/2011-2014; GreenComputing 2011-2012; ICPP 2007/2009/2011-2014
  • HIPS: Workshop on High-Level Parallel Programming Models and Supportive Environments (Chair 2000, Co-Chair 2003 & 2008, Program Committee 2001-2002,2004-2006,2009-2012, Steering Committee since 2001)
  • SCI-Europe: International Conference on SCI-based Technology and Research (Steering Committee 2000-2001, Co-Chair 2001, Program Committee 2000-2001)
  • Finance and Registration Chair, PPoPP 2009
  • Workshops and Tutorial Chair, IEEE Cluster 2010

Journal Publications

  • Huber, Dominik; Schreiber, Martin; Schulz, Martin; Graph-based multi-core higher-order time integration of linear autonomous partial differential equations, Journal of Computational Science, 101349, 2021, Elsevier
  • Elis, Bengisu; Yang, Dai; Pearce, Olga; Mohror, Kathryn; Schulz, Martin; QMPI: A next generation MPI profiling interface for modern HPC platforms, Parallel Computing, 96, 102635, 2020, North-Holland
  • Bernholdt, David E; Boehm, Swen; Bosilca, George; Gorentla Venkata, Manjunath; Grant, Ryan E; Naughton, Thomas; Pritchard, Howard P; Schulz, Martin; Vallee, Geoffroy R; A survey of MPI usage in the US exascale computing project, Concurrency and Computation: Practice and Experience,          32, 3, 2020
  • Yang, Dai; Küstner, Tilman; Al-Rihawi, Rami; Schulz, Martin; Exploring High Bandwidth Memory for PET Image Reconstruction, Parallel Computing: Technology Trends, 36, 219, 2020, IOS Press
  • Miwa, Shinobu; Laguna, Ignacio; Schulz, Martin; PredCom: A Predictive Approach to Collecting Approximated Communication Traces, IEEE Transactions on Parallel and Distributed Systems, 32, 1, 45-58, 2020, IEEE
  • Hermanns, Marc-André; Hjelm, Nathan T; Knobloch, Michael; Mohror, Kathryn; Schulz, Martin; The MPI_T events interface: An early evaluation and overview of the interface Parallel computing, 85, 119-130, 2019, North-Holland

  • Sato, Kento; Laguna, Ignacio; Lee, Gregory L; Schulz, Martin; Chambreau, Christopher M; Atzeni, Simone; Bentley, Michael; Gopalakrishnan, Ganesh; Rakamaric, Zvonimir; Sawaya, Geof;         PRUNERS: Providing reproducibility for uncovering non-deterministic errors in runs on supercomputers       The International Journal of High Performance Computing Applications, 33, 5, 777-783, 2019, SAGE Publications Sage UK: London, England

  • Miwa, Shinobu; Ishihara, Masaya; Yamaki, Hayato; Honda, Hiroki; Schulz, Martin; Footprint-Based DIMM Hotplug, IEEE Transactions on Computers, 69, 2, 172-184, 2019, IEEE
  • Arima, Eishi; Hanawa, Toshihiro; Trinitis, Carsten; Schulz, Martin; A Case for Power Shifting on Hybrid Memory Based Systems, IEICE Technical Report; IEICE Tech. Rep., 119, 147, 41-46, 2019, IEICE
  • Sourav Chakraborty, Murali Emani, Ignacio Laguna, Hari Subramoni, Kathryn Mohror, Martin Schulz, Dhabaleswar Panda, “EReinit: Scalable and Efficient Fault-Tolerance for Bulk-Synchronous MPI Applications”, Concurrency and Computation: Practice and Experience, August 2018.
  • Alfredo Giménez, Todd Gamblin, Ilir Jusufi, Abhinav Bhatele, Martin Schulz, Peer-Timo Bremer, and Bernd Hamann. MemAxes: Visualization and analytics for characterizing complex memory performance behaviors. IEEE Transactions on Visualization and Computer Graphics, May 2017.
  • Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, and PeerTimo Bremer. Ordering traces logically to identify lateness in message-passing programs. IEEE Transactions on Parallel and Distributed Systems, 27(3):829–840, March 2016. LLNL-JRNL-668754.
  • Tanzima Islam, Kathryn Mohror, Martin Schulz, Exploring the MPI tool information interface: features and capabilities. IJHPCA 30(2): 212-222 (2016)
  • Ignacio Laguna, David F. Richards, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, Kathryn Mohror, and Howard Pritchard, "Evaluating and Extending User-Level Fault Tolerance in MPI", International Journal of High Performance Computing Applications (IJHPCA), to appear (LLNL-JRNL-663434).
  • Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz, “Exploiting Redundancy for Cost-Effective, Time-Constrained Execution of Scalable HPC Applications on Amazon EC2”, Transactions on Parallel and Distributed Systems, to appear.
  • Peer-Timo Bremer, Bernd Mohr, Valerio Pascucci, Martin Schulz, “Connecting Performance Analysis and Visualization to Advance Extreme Scale”, Informatik Spektrum: 37. 2014, 2.
  • Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Bernd Hamann, and Peer-Timo Bremer, “Ordering Traces Logically to Identify Lateness in Message Passing Programs”, IEEE Transactions on Parallel and Distributed Systems. Vol. 27, Issue 3, March 2015.
  • 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, Vol. 58 No. 9, Pages 72-81.
  • Tanzima Zerin Islam, Kathryn Mohror, Martin Schulz, "Exploring the MPI Tool Information Interface: Features and Capabilities”, International Journal of High Performance Computing Applications, August 19, 2015.
  • Katherine E. Isaacs, Todd Gamblin, Abhinav Bhatele, Martin Schulz, Ilir Jusufi, Bernd Hamann, Peer-Timo Bremer, “Combing the Communication Hairball: Visualizing Parallel Execution Traces using Logical Time”, IEEE Transactions on Visualization and Computer Graphics, Proceedings of IEEE Symposium on Information Visualization (InfoVis 2014), Paris, France, October 2014
  • Hilbrich, Tobias, Joachim Protze, Martin Schulz, Bronis R. de Supinski and Matthias S. Mueller, "MPI Runtime Error Detection with MUST: Advances in Deadlock Detection”, Scientific Programming, Vol. 21, No. 3, pp. 109-121, October 2013, (Reprint of SC2012 paper) (LLNL-CONF-555978).
  • Olivier, Stephen, Bronis R. de Supinski, Martin Schulz and Jan F. Prins, "Characterizing and Mitigating Work Time Inflation in Task Parallel Programs”, Scientific Programming, Vol. 21, No. 3, pp. 123-136, October 2013, (Reprint of SC2012 paper) (LLNL-CONF-555492).
  • Joshua D. Goehner, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller and Martin Schulz, "LIBI: A Framework for Bootstrapping Extreme Scale Software Systems”, Parallel Computing, Vol. 39, No. 3, March 2013, (LLNL-JRNL-575496).
  • Barry Rountree, Guy Cobb, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, and Henry Tufo, "Parallelizing Heavyweight Debugging Tools with MPIecho”, Parallel Computing, Vol. 39, No. 3, March 2013.
  • Dong Li, Bronis R. de Supinski, Martin Schulz, Dimitrios S. Nikolopoulos and Kirk W. Cameron, "Strategies for Energy Efficient Resource Management of Hybrid Programming Models”, Transactions on Parallel and Distributed Systems, Vol. 24, No. 1, pp. 144-157, January 2013, (LLNL-JRNL-521391).
  • G. Gopalakrishnan, R. M. Kirby, S. Siegel, R. Thakur, W. Gropp, E. Lusk, B. R. De Supinski, M. Schulz, G. Bronevetsky, “Formal Analysis of MPI-based Parallel Programs”, Communications of the ACM, Vol. 54 No. 12, Pages 82-91.
  • A. Landge, J. Levine, K. Isaacs, A. Bhatele, T. Gamblin, M. Schulz, S. H. Langer, P.-T. Bremer, V. Pascucci, “Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations”, IEEE Transactions on Visualization and Computer Graphics, Volume 18, Issue 12, In Proceedings of IEEE Symposium on Information Visualization (InfoVis 2012), Seattle, WA, October 2012.
  • R. Preissl, M. Schulz, D. Kranzlmueller, B.R. de Supinski and D. Quinlan, “Transforming MPI Source Code based on Communication Patterns”, Future Generation Computer Systems, Vol. 16, Number 1 / 2010, pp. 147-154, (LLNL-JRNL-408081).
  • M. Noeth, P. Ratn, F. Mueller, M. Schulz and B.R. de Supinski, "ScalaTrace: Scalable Compression and Replay of Communication Traces in Massively Parallel Environments”, Journal of Parallel and Distributed Computing (JPDC), Vol. 69, No. 8, Aug 2009, pages 969-710, (LLNL-JRNL-403992).
  • M. Schulz, J. Galarowicz, D. Maghrak, W. Hachfeld, D. Montoya, S. Cranford, “Open|SpeedShop: An Open Source Infrastructure for Parallel Performance Analysis”, Scientific Programming, Vol. 16, Number 2-3 / 2008, pp. 105-121, IOS Press, (LLNL-JRNL-234840).
  • B.R. de Supinski, M. Schulz, V.V. Bulatov, W. Cabot, B. Chan, A.W. Cook, E.W. Draeger, J.N. Glosli, J.A. Greenough, K. Henderson, A. Kubota, S. Louis, B.J. Miller, M.V. Patel, T.E. Spelce, F.H. Streitz, P.L. Williams, R.K. Yates, A. Yoo, G. Almasi, G. Bhanot, A. Gara, J.A. Gunnels, M. Gupta, J. Moreira, J. Sexton, B. Walkup, C. Archer, F. Gygi, T.C. Germann, K. Kadau, P.S. Lomdahl, C. Rendleman, M.L. Welcome, W. McLendon, B. Hendrickson, F. Franchetti, S. Kral. J. Lorenz, C.W. Überhuber, E. Chow and U. Catalyurek, “BlueGene/L Applications: Parallelism on a Massive Scale”, International Journal of High Performance Computing Applications, January 2008, 22:33-51, (UCRL-JRNL-224370).
  • G. Lee, M. Schulz, D. Ahn, A. Bernat, B.R. de Supinski, S. Ko, and B. Rountree, "Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems”, International Journal of Parallel Programming, (UCRL-JRNL- 226801).
  • E. Ipek, S.A. McKee, K. Singh, R. Caruana, B.R. de Supinski and M. Schulz, "Efficient Architectural Design Space Exploration via Predictive Modeling”, ACM Transactions on Architecture and Code Optimization, (UCRL-JRNL-227222).
  • K. Singh, E. Ipek, S.A. McKee, B.R. de Supinski, M. Schulz and R. Caruana, "Predicting Parallel Application Performance via Machine Learning Approaches”, Concurrency and Computation: Practice & Experience, (UCRL-JRNL-222444).
  • T. Brandes, H. Schwamborn, M. Gerndt, J. Jeitner, E. Kereku, W. Karl, M. Schulz, J. Tao, H. Brunst, W. Nagel, R. Neumann, R. Mueller-Pfefferkorn, B. Trenkler, and H.-C. Hoppe, “Monitoring Cache Behavior on Parallel SMP Architectures and Related Programming Tools”, Future Generation Computer Systems (FGCS), Vol.21, Nr. 8, October 2005, pp. 1298-1311.
  • J. Tao, M. Schulz, and W. Karl, “Simulation as a Tool for Optimizing Memory Accesses on NUMA Machines”, Performance Evaluation. Vol.60, No.1-4, May 2005, pp.31-50.
  • J. Tao, M. Schulz, and W. Karl, “Simulation as a Tool for Optimizing Memory Accesses on NUMA Machines”, Performance Evaluation, Future Generation Computer Systems. Vol.19, No.5, 2003, pp.761-776.
  • J. Tao, M. Schulz, and W. Karl, “ARS: An Adaptive Runtime System for Locality Optimizations”, Future Generation Computer Systems (FGCS), Vol 19, No. 5, 2003, pp. 761-776.
  • M. Schulz, J. Tao, C. Trinitis, and W. Karl, “SMiLE: An Integrated, Multi-Paradigm Software Infrastructure for SCI-based Clusters”, Future Generation Computer Systems (FGCS), Vol. 19, No. 4, pp.521-532, (Special issue with best papers of CCGrid02), 2003.
  • G. Torralba, V. González, E. Sanchis, J. Tao, M. Schulz, and W. Karl, “Data monitoring in high-performance clusters for computing applications”, IEEE Transactions on Nuclear Science, Vol. 49, No. 2, April 2002.
  • J. Tao, W. Karl, and M. Schulz, “Memory Access Behavior Analysis of NUMA-based Shared Memory Programs”, Scientific Computing, Special issue on Performance-Oriented Application Development for Distributed Architectures.

Conference Publications

  • Hildenbrand, David; Schulz, Martin; virtio-mem: paravirtualized memory hot (un) plug, Proceedings of the 17th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, Jan 14, 2021
  • Engelke, Alexis; Okwieka, Dominik; Schulz, Martin; Efficient LLVM-based dynamic binary translation, Proceedings of the 17th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 165-171, 2021
  • Netti, Alessio; Müller, Micha; Guillen, Carla; Ott, Michael; Tafani, Daniele; Ozer, Gence; Schulz, Martin; DCDB Wintermute: enabling online and holistic operational data analytics on HPC systems, Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, 101-112 , 2020, HPDC
  • Engelke, Alexis; Schulz, Martin; Instrew: Leveraging LLVM for high performance dynamic binary instrumentation, Proceedings of the 16th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 172-184, 2020
  • Ozer, Gence; Netti, Alessio; Tafani, Daniele; Schulz, Martin; Characterizing HPC Performance Variation with Monitoring and Unsupervised Learning, International Conference on High Performance Computing, 280-292, 2020, Springer
  • Raoofy, Amir; Karlstetter, Roman; Yang, Dai; Trinitis, Carsten; Schulz, Martin; Time Series Mining at Petascale Performance, International Conference on High Performance Computing, 104-123, 2020, Springer
  • Arima, Eishi; Schulz, Martin; Pattern-Aware Staging for Hybrid Memory Systems, International Conference on High Performance Computing, 474-495, 2020, Springer
  • Arima, Eishi; Hanawa, Toshihiro; Trinitis, Carsten; Schulz, Martin;  Footprint-Aware Power Capping for Hybrid Memory Based Systems, International Conference on High Performance Computing, 347-369, 2020, Springer
  • Huber, Dominik; Schreiber, Martin; Yang, Dai; Schulz, Martin; Cache-Aware Matrix Polynomials, International Conference on Computational Science,132-146, 2020, Springer
  • Jauk, David; Yang, Dai; Schulz, Martin; Predicting faults in high performance computing systems: An in-depth survey of the state-of-the-practice, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis , Jan 13, 2019    
  • Georgakoudis, Giorgis; Laguna, Ignacio; Vandierendonck, Hans; Nikolopoulos, Dimitrios S; Schulz, Martin; Safire: Scalable and accurate fault injection for parallel multithreaded applications, International Parallel and Distributed Processing Symposium (IPDPS), 2019
  • Karlin, Ian; Park, Yoonho; de Supinski, Bronis R; Wang, Peng; Still, Bert; Beckingsale, David; Blake, Robert; Chen, Tong; Cong, Guojing; Costa, Carlos; et al., Preparation and optimization of a diverse workload for a large-scale heterogeneous system, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2019          
  • Netti, Alessio; Mueller, Micha; Auweter, Axel; Guillen, Carla; Ott, Michael; Tafani, Daniele; Schulz, Martin; From facility to application sensor data: modular, continuous and holistic monitoring with DCDB, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, 2019
  • Frank, Alvaro; Yang, Dai; Brinkmann, Andre; Schulz, Martin; Süss, Tim; Reducing False Node Failure Predictions in HPC, IEEE 26th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2019
  • Emilio Castillo, Miquel Moreto, Martin Schulz, Ramon Beivide, Mateo Valero, Abhinav Bhatele, “Optimizing Computation-Communication Overlap in Asynchronous Task-Based Programs”, ICS 2019 I think
  • Karlstetter, Roman; Widhopf-Fenk, Robert; Hermann, Jakob; Rouwenhorst, Driek; Raoofy, Amir; Trinitis, Carsten; Schulz, Martin; Turning dynamic sensor measurements from gas turbines into insights: a big data approach, ASME Turbo Expo 2019: Turbomachinery Technical Conference and Exposition, American Society of Mechanical Engineers Digital Collection
  • Chasapis, Dimitrios; Moretó, Miquel; Schulz, Martin; Rountree, Barry; Valero, Mateo; Casas, Marc; Power efficient job scheduling by predicting the impact of processor manufacturing variability, Proceedings of the ACM International Conference on Supercomputing, 2019        
  • Luanzheng Guo, Dong Li, Ignacio Laguna, Martin Schulz, “FlipTracker: Understanding Natural Error Resilience in HPC Applications”, SC18, November 2018.
  • Marc-André Hermanns, Nathan T. Hjlem, Michael Knobloch, Kathryn Mohror and Martin Schulz, “Enabling Callback-Driven Runtime Introspection via MPI_T”, EuroMPI 2018, Barcelona, Spain, September 2018.
  • Kevin Brown, Nikhil Jain, Satoshi Matsuoka, Martin Schulz and Abhinav Bhatele, “Interference between I/O and MPI Traffic on Fat-tree Networks”, ICPP 2018, Eugene, OR, August 2018.
  • Joachim Protze, Martin Schulz, Dong H. Ahn, Matthias S. Müller, “Thread-Local Concurrency: A Technique to Handle Data Race Detection at Programming Model Abstraction”, HPDC 2018, June 2018.
  • Ryuichi Sakamoto, Tapasya Patki, Thang Cao, Masaaki Kondo, Koji Inoue, Masatsugu Ueda, Daniel Ellsworth, Barry Rountree, Martin Schulz, Analyzing Resource Trade-offs in Hardware-overprovisioned Supercomputers, IPDPS 2018, Vancouver, CA, May 2018.
  • Alfredo Giménez, Todd Gamblin, Abhinav Bhatele, Chad Wood, Kathleen Shoga, Aniruddha Marathe, Peer-Timo Bremer, Bernd Hamann, and Martin Schulz. “ScrubJay: Deriving knowledge from the disarray of hpc performance data.” In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’17. IEEE Computer Society, November 2017.
  • Giorgis Georgakoudis, Ignacio Laguna, Dimitrios S. Nikolopoulos, MartinSchulz, “REFINE: Realistic Fault Injection via Compiler-Based Instrumentation for Accuracy, Portability and Speed”, In Proceedings of the ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, SC ’17. IEEE Computer Society, November 2017.
  • David Böhme, David Beckingsale, Martin Schulz, “Flexible Data Aggregation for Performance Profiling”, IEEE CLUSTER 2017: 419-428.
  • Ryuichi Sakamoto, Thang Cao, Masaaki Kondo, Koji Inoue, Masatsugu Ueda, Tapasya Patki, Daniel Ellsworth, Barry Rountree and Martin Schulz, Production Hardware Overprovisioning: Real-world Performance Optimization using an Extensible Power-aware Resource Management Framework, IPDPS 2017
  • Matthias Maiterth, Torsten Wilde, David K. Lowenthal, Barry Rountree, Martin Schulz, Jonathan Eastep, Dieter Kranzlmüller, “Power Aware High Performance Computing: Challenges and Opportunities for Application and System Developers - Survey & Tutorial”. HPCS 2017: 3-10.
  • Kento Sato, Dong H. Ahn, Ignacio Laguna, Gregory L. Lee, Martin Schulz, Christopher M. Chambreau, Noise Injection Techniques to Expose Subtle and Unintended Message Races. PPOPP 2017: 89-101
  • Tanzima Zerin Islam, Jayaraman J. Thiagarajan, Abhinav Bhatele, Martin Schulz, Todd Gamblin, A machine learning framework for performance coverage analysis of proxy applications. SC 2016
  • David Böhme, Todd Gamblin, David Beckingsale, Peer-Timo Bremer, Alfredo Giménez, Matthew P. LeGendre, Olga Pearce, Martin Schulz, Caliper: performance introspection for HPC software stacks. SC 2016
  • Sandra Wienke, Julian Miller, Martin Schulz, Matthias S. Müller, Development effort estimation in HPC. SC 2016
  • Ignacio Laguna, Martin Schulz, Pinpointing scale-dependent integer overflow bugs in large-scale parallel applications. SC 2016
  • Daniel Holmes, Kathryn Mohror, Ryan E. Grant, Anthony Skjellum, Martin Schulz, Wesley Bland, Jeffrey M. Squyres, MPI Sessions: Leveraging Runtime Infrastructure to Increase Scalability of Applications at Exascale. EuroMPI 2016
  • Søren Rasmussen, Martin Schulz, Kathryn Mohror, Allowing MPI tools builders to forget about Fortran. EuroMPI 2016
  • Alexandru Calotoiu, David Beckingsale, Christopher W. Earl, Torsten Hoefler, Ian Karlin, Martin Schulz, Felix Wolf, Fast Multi-parameter Performance Modeling. CLUSTER 2016: 172-181
  • D. Chasapis, M. Casas, M. Moreto, M. Schulz, E. Ayguade, J. Labarta, M. Valero, "Runtime-Guided Mitigation of Manufacturing Variability in Power-Constrained Multi-Socket NUMA Nodes", Proceedings of the 2016 International Conference on Supercomputing, June 2016.
  • Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Dong Ahn, Gregory Lee, Ignacio Laguna, Martin Schulz, Joachim Protze, Matthias Mueller, “ARCHER: Effectively Spotting Data Races in Large OpenMP Applications”, International Parallel and Distributed Processing Symposium (IPDPS) 2016, Chicago, IL, May 2016, to appear.
  • Lee Savoie, David Lowenthal, Bronis R. de Supinski, Tanzima Islam, Kathryn Mohror, Barry Rountree, Martin Schulz, “I/O Aware Power Shifting”, International Parallel and Distributed Processing Symposium (IPDPS) 2016, Chicago, IL, May 2016, to appear.
  • Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy Amato, “MPMD Framework for Offloading Load Balance Computation”, International Parallel and Distributed Processing Symposium (IPDPS) 2016, Chicago, IL, May 2016, to appear.
  • Matthias Weber, Ronny Brendel, Tobias Hilbrich, Kathryn Mohror, Martin Schulz, Holger Brunst, “Structural Clustering: A New Approach to Support Performance Analysis At Scale”, International Parallel and Distributed Processing Symposium (IPDPS) 2016, Chicago, IL, May 2016, to appear.
  • Ignacio Laguna, Martin Schulz, David F. Richards, Jon Calhoun and Luke Olson. “IPAS: Intelligent Protection Against Silent Output Corruption in Scientific Applications”, International Symposium on Code Generation and Optimization 2016, Barcelona, Spain, March 2016, to appear.
  • Katherine E. Isaacs, Abhinav Bhatele, Jonathan Lifflander, David Böhme, Todd Gamblin, Martin Schulz, Bernd Hamann, and Peer-Timo Bremer. Analyzing the structure of execution traces from task-based parallel runtimes. SC2015, Austin, TX, November 2015.
  • Peter Bailey, Aniruddha Marathe, David Lowenthal, Barry Rountree, Martin Schulz, “Finding the Limits of Power-Constrained Application Performance”, SC2015, Austin, TX, November 2015.
  • Yuichi Inadomi, Tapasya Patki, Koji Inoue, Mutsumi Aoyagi, Barry Rountree, Martin Schulz, David Lowenthal, Yasutaka Wada, Keiichiro Fukazawa, Masatsugu Ueda, Masaaki Kondo, Ikuo Miyoshi, “Analyzing and Mitigating the Impact of Manufacturing Variability in Power-Constrained Supercomputing”, SC2015, Austin, TX, November 2015.
  • Kento Sato, Dong Ahn, Ignacio Laguna, Gregory Lee, Martin Schulz, “Clock Delta Compression for Scalable Order-Replay of Non-Deterministic Parallel Applications”, SC2015, Austin, TX, November 2015.
  • Daniel A. Ellsworth, Allen D. Malony, Barry Rountree, Martin Schulz, “Dynamic Power Sharing for Higher Job Throughput”, SC2015, Austin, TX, November 2015.
  • Hormozd Gahvari, Martin Schulz, Ulrike Yang, “An Approach to Selecting Thread + Process Mixes for Hybrid MPI + OpenMP Applications”, IEEE Cluster, Chicago, IL, September 2015.
  • Tobias Hilbrich, Martin Schulz, Holger Brunst, Joachim Protze, Bronis R. de Supinski, Matthias S. Mueller, “Event-Action Mappings for Parallel Tools Infrastructures”, EuroPar 2015, Vienna, Austria, August 2015,
  • Aniruddha Marathe, Peter E. Bailey, David K. Lowenthal, Barry Rountree, Martin Schulz, Bronis R. de Supinski, “A Run-Time System for Power-Constrained HPC Applications”, International Supercomputing Conference (ISC), Frankfurt, Germany, July 2015.
  • Tapasya Patki, Anjana Sasidharan, Matthias Maiterth, David Lowenthal, Barry Rountree, Martin Schulz, Bronis de Supinski, “Practical Resource Management in Power-Constrained High Performance Computing”, 24th International ACM Symposium on High-Performance Parallel and Distributed Computing, Portland, Oregon, June 2015.
  • Daniel A. Ellsworth, Allen D. Malony, Barry Rountree, Martin Schulz, “POW: System-wide Dynamic Reallocation of Limited Power in HPC” (short paper), 24th International ACM Symposium on High-Performance Parallel and Distributed Computing, Portland, Oregon, June 2015.
  • Swann Perarnau, Rajeev Thakur, Kamil Iskra, Ken Raffenetti, Franck Cappello, Rinku Gupta, Pete Beckman, Marc Snir, Henry Hoffmann, Martin Schulz and Barry Rountree, “Distributed Monitoring and Management of Exascale Systems in the Argo Project”, 10th International Federated Conference on Distributed Computing Techniques (IFIP DAIS), Inria Grenoble – Rhône-Alpes, France, June 2015
  • Abhinav Bhatele, Andrew R. Titus, Jayaraman J. Thiagarajan, Nikhil Jain,Todd Gamblin, Peer-Timo Bremer, Martin Schulz, and Laxmikant V. Kale. Identifying the Culprits behind Network Congestion. In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'15), Hyderabad, INDIA, May 25-29 2015.
  • Nicklas Jensen, Niklas Nielsen, Gregory L Lee, Sven Karlsson, Matthew LeGendre, Martin Schulz and Dong Ahn, “A Scalable Prescriptive Parallel Debugging Model”, In Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'15), Hyderabad, INDIA, May 25-29 2015.
  • Peter E Bailey, David K Lowenthal, Vignesh Ravi, Barry Rountree, Martin Schulz and Bronis R de Supinski, “Adaptive Configuration Selection for Power-Constrained Heterogeneous Systems”, Proceedings of the 43rd International Conference on Parallel Processing (ICPP), September 2014.
  • T. Islam, K. Mohror and M. Schulz, “Exploring the Capabilities of the New MPI_T Interface”, EuroMPI/Asia 2014, Kyoto, Japan, September 2014.
  • 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.
  • Ananta Tiwari, Anthony Gamst, Michael Laurenzano, Martin Schulz and Laura Carrington, “Modeling the Impact of Reduced Memory Bandwidth on HPC Applications”, Proceedings of EuroPar 2014, Porto, Portugal, August 2014.
  • K. E. Isaacs, A. Bhatele, P.-T. Bremer, T. Gamblin, A. Gimenez, B. Hamann, I. Jusufi, and M. 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.
  • Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz, "Exploiting Redundancy for Cost-Effective, Time-Constrained Execution of HPC Applications on Amazon EC2”, In the proceedings of High-Performance Parallel and Distributed Computing (HPDC) 2014.
  • S. Mitra, I. Laguna, D. H. Ahn, S. Bagchi, M. Schulz, and T. Gamblin, “Accurate application progress analysis for large-scale parallel debugging”, In Programming Langauge Design and Implementation (PLDI’14), Edinburgh, UK, June 9-11 2014
  • T. Hilbrich, J. Protze, M. Wagner, M.S. Mueller, M. Schulz, B.R. de Supinski, and W.E. Nagel, "Memory Usage Optimizations for Online Event Analysis", In the proceedings of the Exascale Applications and Software Conference (EACS 2014), April 2-3 2014, Stockholm, Sweden.
  • A. Breslow, A. Tiwari, M. Schulz, L. Carrington, L. Tang, J. Mars, “Enabling Fair Pricing on HPC Systems with Node Sharing”, SC2013, Denver, CO, November 2013, (nominated for best paper and best student paper).
  • M. Schulz, J. Belak, A. Bhatele, P.-T. Bremer, G. Bronevetsky, M. Casas, T. Gamblin, K. Isaacs, I. Laguna, J. Levine, V. Pascucci, D. Richards, B. Rountree, “Performance Analysis Techniques for the Exascale Co-Design Process”, Proceedings of PARCO 2013, Munich, Germany, September 2013.
  • Hilbrich, Tobias, Fabian Haensell, Martin Schulz, Bronis R. de Supinski, Joachim Protze , Matthias Mueller and Wolfgang E. Nagel, “Runtime MPI Collective Checking with Tree-Based Overlay Networks”, EuroMPI 2013, Madrid, Spain, September 15-18, 2013.
  • Weber, Matthias, Kathryn Mohror, Martin Schulz, Bronis R. de Supinski, Holger Brunst and Wolfgang E. Nagel, “Alignment-Based Metrics for Trace Comparison”, Euro-Par 2013, Aachen, Germany, August 26–30, 2013, (LLNL-CONF-586852).
  • Marathe, Aniruddha, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz and Xin Yuan, "A Comparative Study of High-Performance Computing on the Cloud”, Twenty Second IEEE International Symposium High Performance Distributed Computing (HPDC 2013), New York, New York, June 17–21, 2013, (LLNL-CONF-634532).
  • Patki, Tapysa, David K. Lowenthal, Barry Rountree, Martin Schulz and Bronis R. de Supinski, " Exploring Hardware Overprovisioning in Power-Constrained, High Performance Computing”, Twenty Seventh International Conference on Supercomputing (ICS 2013), Eugene, Oregon, June 10–14, 2013, (LLNL-CONF-634672).
  • Ahn, Dong, Michael J. Brim, Bronis R. de Supinski, Todd Gamblin, Gregory L. Lee, Matthew LeGendre, Barton P. Miller and Martin Schulz, "Efficient and Scalable Retrieval Techniques for Global File Properties”, Twenty Seventh International Parallel and Distributed Processing Symposium (IPDPS 2013), Boston, Massachusetts, May 20–24, 2013, (LLNL-PROC-554055).
  • Ian Karlin, Abhinav Bhatele, Jeff, Bradford L. Chamberlain, Jonathan Cohen, Zachary DeVito, Riyaz Haque, Dan Laney, Edward Luke, Felix Wang, David Richards, Martin Schulz, Charles Still, “Exploring Traditional and Emerging Parallel Programming Models using a Proxy Application”, IPDPS 2013, Cambridge, MA, May 2013 (best paper, software track).
  • Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann, “Novel Views of Performance Data to Analyze Large-Scale Adaptive Applications”, SC2012, Salt Lake City, Utah, November 2012.
  • Tobias Hilbrich, Joachim Protze, Martin Schulz, Bronis R. de Supinski, Matthias Mueller, “MPI Runtime Error Detection with MUST - Advances in Deadlock Detection”, SC2012, Salt Lake City, Utah, November 2012, (nominated for best paper).
  • Stephen L. Olivier, Bronis R. de Supinski, Martin Schulz, Jan F. Prins, “Characterizing and Mitigating Work Time Inflation in Task Parallel Programs”, SC2012, Salt Lake City, Utah, November 2012, (best student paper).
  • 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, Charles H. Still, “Mapping Applications with Collectives over Sub-Communicators on Torus Networks”, SC2012, Salt Lake City, Utah, November 2012.
  • Martin Schindewolf, Martin Schulz, John Gyllenhaal, Barna Bihari, Amy Whang, Wolfgang Karl, “What Scientific Applications Can Benefit from Hardware Transactional Memory?”, SC2012, Salt Lake City, Utah, November 2012.
  • C.-H. Ho, M. de Kruijf, K. Sankaralingam, B. Rountree, M. Schulz, B. R. de Supinski, “Mechanisms and Evaluation of Cross-Layer Fault-Tolerance for Supercomputing”, Proceedings of the 41st International Conference on Parallel Processing (ICPP), September 2012.
  • H. Gahvari, W. Gropp, K. E. Jordan, M. Schulz, U. M. Yang, “Modeling the Performance of an Algebraic Multigrid Cycle Using Hybrid MPI/OpenMP”, Proceedings of the 41st International Conference on Parallel Processing (ICPP), September 2012.
  • Spyros Lyberis, Polyvios Pratikakis, Dimitrios Nikolopoulos, Martin Schulz, Todd Gamblin, Bronis de Supinski, “The Myrmics Memory Allocator: Hierarchical, Message-Passing Allocation for Global Address Spaces”, Proceedings of the International Symposium on Memory Management, Beijing, China, June 2012.
  • M. Casas Guix, B. R. de Supinski, G. Bronevetsky and M. Schulz, “Fault Resilience of the Algebraic Multi-Grid Solver”, to Proceedings of the 26th International Conference on Supercomputing (ICS), June 2012.
  • O. Pearce, T. Gamblin, B.R. de Supinski, M. Schulz and N. Amato, “Quantifying the Effectiveness of Load Balance Algorithms”, Proceedings of the 26th International Conference on Supercomputing (ICS), June 2012.
  • Tobias Hilbrich, Matthias Mueller, Bronis de Supinski, Martin Schulz, Wolfgang Nagel, “GTI: A Generic Tools Infrastructure for Event Based Tools in Parallel Systems”, Proceedings of IPDPS, May 2012.
  • David Boehme, Bronis de Supinski, Markus Geimer, Martin Schulz, Felix Wolf, “Scalable Critical-Path Based Performance Analysis”, Proceedings of IPDPS, May 2012.
  • Ignacio Laguna, Todd Gamblin, Bronis R. de Supinski, Saurabh Bagchi, Greg Bronevetsky, Dong H. Ahn, Martin Schulz, Barry Rountree, "Large Scale Debugging of Parallel Tasks with AutomaDeD", SC2011, Seattle, Washington, November 12–18, 2011.
  • A. Vo, G. Gopalakrishnan, R. M. Kirby, B. de Supinski, M. Schulz, and G. Bronevetsky, "Large Scale Verification of MPI Programs Using Lamport Clocks with Lazy Update", International Conference on Parallel Architectures and Compilation Techniques (PACT 2011).
  • 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).
  • Barry Rountree, David K. Lowenthal, Martin Schulz, and Bronis R. de Supinski. “Practical performance prediction under dynamic voltage frequency scaling”. In Second International Green Computing Conference (IGCC), July 2011.
  • Hormozd Gahvari, Allison Baker, Martin Schulz, Ulrike Yang, Kirk Jordan and William Gropp, Modeling the Performance of an Algebraic Multigrid Cycle on HPC Platforms, International Conference on Supercomputing, (ICS 2011), Tuscon, AZ, June 2011.
  • Allison H. Baker, Todd Gamblin, Martin Schulz, and Ulrike Meier Yang, “Challenges of Scaling Algebraic Multigrid across Modern Multicore Architectures”, Proceedings of IPDPS, May 2011.
  • Susmit Biswas, Bronis R. de Supinski, Martin Schulz, Diana Franklin, Timothy Sherwood, Frederic T. Chong, “Exploiting Data Similarity to Reduce Memory Footprints”, Proceedings of IPDPS, May 2011.
  • Zoltan Szebenyi, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, Felix Wolf, Brian J.N. Wylie, “Reconciling sampling and direct instrumentation for unintrusive call-path profiling of MPI programs”, Proceedings of IPDPS, May 2011.
  • Anh Vo, Sriram Aananthakrishnan, Ganesh Gopalakrishnan, Bronis R. de Supinski, Martin Schulz and Greg Bronevetsky, "A Scalable and Distributed Dynamic Formal Verifier for MPI Programs”, SC2010, New Orleans, Louisiana, November 13–19, 2010.
  • Robert Preissl, Bronis R. de Supinski, Martin Schulz, Daniel J. Quinlan, Dieter Kranzlmueller and Thomas Panas, “Exploitation of Dynamic Communication Patterns through Static Analysis”, 2010 International Conference on Parallel Processing (ICPP-10), San Diego, CA, September 13-16, 2010, (LLNL-CONF-438991).
  • Karan Singh, Matthew Curtis-Maury, Sally A. McKee, Filip Blagojevic, Dimitris S. Nikolopoulos, Bronis R. de Supinski and Martin Schulz, “Comparing Scalability Prediction Strategies on an SMP of CMPs”, Euro-Par 2010, Naples, Italy, August 31–September 3, 2010, (LLNL-CONF-423717).
  • Greg Bronevetsky, Ignacio Laguna, Saurabh Bagchi, Bronis R. de Supinski, Dong H. Ahn and Martin Schulz, "AutomaDeD: Automata-Based Debugging for Dissimilar Parallel Tasks”, 40th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2010), Chicago, IL, June 28 – July 1, 2010, (LLNL-CONF-426270).
  • Allison Baker, Martin Schulz, and Ulrike Yang, “On the Performance of an Algebraic Multigrid Solver on Multicore Clusters”, VecPar 2010, June 2010.
  • Frank Mueller, Xing Wu, Martin Schulz, Todd Gamblin and Bronis R. de Supinski, "ScalaTrace: Tracing, Analysis and Modeling of HPC Codes at Scale”, Para 2010: State of the Art in Scientific and Parallel Computing, Reykjavík, Iceland, June 6-9, 2010, (LLNL-CONF-427005).
  • Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler and Daniel A. Reed, "Clustering Performance Data Efficiently at Massive Scales”, Twenty Fourth International Conference on Supercomputing (ICS 2010), Tsukuba, Japan,
  • June 1–4, 2010, (LLNL-CONF-422684).
  • Bradley Barnes, Jeonifer Garren, David K. Lowenthal, Jaxk Reeves, Bronis R. de Supinski, Martin Schulz and Barry Rountree, "Using Focused Regression for Accurate Time-Constrained Scaling of Scientific Applications”, Twenty Fourth International Parallel and Distributed Processing Symposium (IPDPS 2010), Atlanta, GA, April 19–23, 2010, (LLNL-CONF-422989).
  • Dong Li, Bronis R. de Supinski, Martin Schulz, Kirk Cameron and Dimitrios S. Nikolopoulos, "Power-aware MPI Task Aggregation Prediction for High-End Computing Systems”, Twenty Fourth International Parallel and Distributed Processing Symposium (IPDPS 2010), Atlanta, GA, April 19–23, 2010, (LLNL-CONF-422991).
  • Dong Li, Dimitrios S. Nikolopoulos, Kirk Cameron, Bronis R. de Supinski, and Martin Schulz, "Hybrid MPI/OpenMP Power-Aware Computing”, Twenty Fourth International Parallel and Distributed Processing Symposium (IPDPS 2010), Atlanta, GA, April 19–23, 2010, (LLNL-CONF-422990).
  • D.H. Ahn, B.R. de Supinski, I. Laguna, G.L. Lee, B. Liblit, B.P. Miller, M. Schulz, “Scalable Temporal Order Analysis for Large Scale Debugging”,SC2009, Portland, Oregon, November, 2009, (LLNL-CONF- 412227).
  • B.R. de Supinski, Sadaf~Alam, D.H. Bailey, L. Carrington, C. Daley, A. Dubey, T. Gamblin, D. Gunter, P.D. Hovland, H. Jagode, K. Karavanic, G. Marin, J. Mellor-Crummey, S. Moore, B. Norris, L. Oliker, C. Olschanowsky, P.C. Roth, M. Schulz, S. Shende, A. Snavely, W. Spear, M. Tikir, J. Vetter, P. Worley, and N. Wright, “Modeling the Office of Science ten year facilities plan: The PERI Architecture Tiger Team”, SciDAC 2009, (LLNL-CONF-413427).
  • B. Rountree, D.K. Lowenthal, B.R. de Supinski, M. Schulz, V.W. Freeh and T. Bletsch, “Adagio: Making DVS Practical for Complex HPC Applications”, Twenty Third International Conference on Supercomputing (ICS 2009), (LLNL-CONF-412083).
  • M. Schulz, A. W. Cook, W.H. Cabot, B.R. de Supinski and W.D. Krauss, “On the Performance of the Miranda CFD Code on Multicore Architectures”, Twenty First International Conference on Parallel Computational Fluid Dynamics (ParallelCFD 2009), (LLNL-ABS-411404).
  • M. Schulz, J. Galarowicz, D. Maghrak, W. Hachfeld, D. Montoya, S. Cranford, “Analyzing the Performance of Scientific Applications with Open|SpeedShop”, Twenty First International Conference on Parallel Computational Fluid Dynamics (ParallelCFD 2009), (LLNL-ABS- 418135).
  • J. Li, M. Xiaosong, K. Singh, M. Schulz, B.R. de Supinski, and S.A. McKee, "Machine Learning Based Online Performance Prediction for Runtime Parallelization and Task Scheduling”, 2009 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Boston, Massachusetts, April 26–28, 2009, (LLNL-CONF-407723).
  • G. Lee, D.H. Ahn, D.C. Arnold, B.R. de Supinski, M. Legendre, B.P. Miller, M. Schulz and B. Liblit, "Lessons Learned at 208K: Towards Debugging Millions of Cores”, SC2008, Austin, Texas, November 15–21, 2008, (LLNL-CONF-402967).
  • T. Gamblin, B.R. de Supinski, M. Schulz, R.J. Fowler and D. A. Reed, "Scalable Load Balance Measurement for SPMD Codes”, SC2008, Austin, Texas, November 15–21, 2008, (LLNL-CONF-406045).
  • M. Curtis-Maury, A. Shah, F. Blagojevic, D.S. Nikolopoulos, B.R. de Supinski and M. Schulz, "Prediction Models for Multi-dimensional Power-Performance Optimizations on Many Cores”, Seventeenth International Conference on Parallel Architectures and Compilation Techniques (PACT-2008), Toronto, ON, Canada, October 25–29, 2008, (LLNL-CONF-400453).
  • D.H. Ahn, D.C. Arnold, B.R. de Supinski, G.L. Lee, B.P. Miller and M. Schulz, “Overcoming Scalability Challenges for Tool Daemon Launching”, 2008 International Conference on Parallel Processing (ICPP-08), Portland, OR, September 8-12, 2008, (LLNL-CONF-401480).
  • R. Preissl, T. Koeckerbauer, M. Schulz, D. Kranzlmueller, B.R. de Supinski and D.J. Quinlan, “Detecting Patterns in MPI Communication Traces”, 2008 International Conference on Parallel Processing (ICPP-08), Portland, OR, September 8-12, 2008, (LLNL-CONF-401716).
  • M. Schulz, G. Bronevetsky and B.R. de Supinski, “On the Performance of Transparent MPI Piggyback Messages”, EuroPVM/MPI 2008, Dublin, Ireland, September 7–10, 2008, (LLNL-CONF-402937).
  • R. Preissl, M. Schulz, D. Kranzlmueller, B.R. de Supinski and D.J. Quinlan, “Using MPI Communication Patterns to Guide Source Code Transformations”, Tools for Program Development and Analysis in Computational Science, Krakow, Poland, June 23-25, 2008, (LLNL-CONF-400356).
  • B. Barnes, B. Rountree, D.K. Lowenthal, J. Reeves, B.R. de Supinski and M. Schulz, "A Regression-Based Approach to Scalability Prediction”, Twenty Second International Conference on Supercomputing (ICS 2008), Kos, Greece, June 7-12, 2008, (LLNL-CONF-400700).
  • P. Ratn, F. Mueller, B.R. de Supinski and M. Schulz, "Preserving Time in Large-Scale Communication Traces”, Twenty Second International Conference on Supercomputing (ICS 2008), Kos, Greece, June 7-12, 2008, (LLNL-CONF-400703).
  • B.R. de Supinski, R.J. Fowler, T. Gamblin, F. Mueller, P. Ratn and M. Schulz, "An Open Infrastructure for Scalable, Reconfigurable Analysis”, International Workshop on Scalable Tools for High-End Computing (STHEC), Kos, Greece, June 7, 2008, (LLNL-CONF-403954).
  • M. Schulz and B.R. de Supinski, “P^nMPI Tools: A Whole Lot Greater than the Sum of Their Parts”, In Supercomputing 2007, Reno, NV, USA, November 12-18, 2007, (UCRL-CONF-229978).
  • B. Rountree, D. Lowenthal, S. Funk, V.W. Freeh, B.R. de Supinski and M. Schulz, “Bounding Energy Consumption in Large-scale MPI Programs”, In Supercomputing 2007, Reno, NV, USA, November 12-18, 2007, (UCRL-CONF-233221).
  • G.L. Lee, D. Ahn, B.R. de Supinski, M. Schulz, D.C. Arnold, and B.P. Miller, Benchmarking the Stack Trace Analysis Tool for BlueGene/L, In Parallel Computing: Architectures, Algorithms and Applications Proceedings of the International Conference ParCo 2007, Aachen, Germany, September 4-7, 2007, (UCRL-CONF-235241).
  • M. Schulz and B.R. de Supinski, “Practical Differential Profiling”, Euro-Par 2007, Rennes, France, August 28 – 31, 2007, (UCRL-CONF-227812).
  • D. Arnold, D.H. Ahn, B.R. de Supinski, G.L. Lee, B.P. Miller and M. Schulz, "Stack Trace Analysis for Large Scale Debugging”, Twenty First International Parallel and Distributed Processing Symposium (IPDPS 2007), Long Beach, CA, March 26–30, 2007, (UCRL-CONF-227108).
  • M. Noeth, F. Mueller, M. Schulz and B.R. de Supinski, "Scalable Compression and Replay of Communication Traces in Massively Parallel Environments”, Twenty First International Parallel and Distributed Processing Symposium (IPDPS 2007), Long Beach, CA, March 26–30, 2007, (UCRL-CONF-227098), (Best Paper Award).
  • B.C. Lee, D.M. Brooks, B.R. de Supinski, M. Schulz, K. Singh and S.A. McKee, “Methods of Inference and Learning for Performance Modeling of Parallel Applications”, ACM SIGPLAN 2007 Symposium on Principles and Practice of Parallel Programming (PPoPP 2007), San Jose, CA, March 14-17, 2007, (UCRL-CONF-227097).
  • F. Gygi, E.W. Draeger, M. Schulz, B.R. de Supinski, J.A. Gunnels, V. Austel, J.C. Sexton, F. Franchetti, S. Kral, C.W. Überhuber and J. Lorenz, "Large-Scale Electronic Structure Calculations of High-Z Metals on the BlueGene/L Platform”, SC2006, Tampa, FL, November 11-17, 2006, (UCRL-PROC-220592), (Gordon Bell Prize Winner).
  • E. Ipek, S.A. McKee, B.R. de Supinski, M.Schulz and R.Caruana, “Efficiently Exploring Architectural Design Spaces via Predictive Modeling”, Twelfth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS XII), San Jose, CA, October 21-25, 2006, (UCRL-CONF-223240).
  • M. Schulz, D. Kranzlmueller and B.R. de Supinski, “Exploring Unexpected Behavior in MPI”, 2006 International Conference on High Performance Computing and Communications (HPCC-06), Munich, Germany, September 13-15, 2006, (UCRL-CONF-222368).
  • M. Schulz, and B.R. de Supinski, “A Flexible and Dynamic Infrastructure for MPI Tool Interoperability”, 2006 International Conference on Parallel Processing (ICPP-06), Columbus, OH, August 14-18, 2006, (UCRL-CONF-221608).
  • M. Noeth, F. Mueller, M. Schulz and B.R. de Supinski, "Scalable Compression and Replay of Communication Traces in Massively Parallel Environments", P=ac2 Conference, IBM T.J. Watson, Oct 2006.
  • M. Schulz, "Extracting Critical Path Graphs from MPI Applications", IEEE Cluster 2005, September 2005, (UCRL-CONF-214107).
  • E. Ipek, B. R. de Supinski, M. Schulz, S.A. McKee, and R. Caruana, "An Approach to Performance Prediction for Parallel Applications", Euro‑Par 2005, Springer LNCS, 3648, August 2005, (UCRL-CONF-212365).
  • B. S. White, S. A. McKee; B. R. de Supinski, B. Miller, D. Quinlan, and M. Schulz, "Improving the Computational Intensity of Unstructured Mesh Applications", The 19th ACM International Conference on Supercomputing, June 2005, (UCRL-CONF-212479).
  • M. Schulz, B. S. White, S.A. McKee, H.-H. Lee, and J. Jeitner, “Owl: Next Generation System Monitoring”, Proceedings of ACM Computing Frontiers, April 2005, (UCRL-CONF-209855).
  • M. Schulz, G. Bronevetsky, R. Fernandes, D. Marques, K. Pingali, and P. Stodghill, "Implementation and Evaluation of a Scalable Application-level Checkpoint-Recovery Scheme for MPI Programs", Proceedings of Supercomputing 2004, November 2004, (UCRL-CONF-205612).
  • G. Bronevetsky, M. Schulz, P. Szwed., D. Marques, and K. Pingali, "Application-level Checkpointing for Shared Memory Programs", Proceedings of the Eleventh International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2004), October 2004, (UCRL-CONF-205594).
  • T. Mohan, B.R. de Supinski, S.A. McKee, F. Mueller, A. Yoo, and M. Schulz, “Identifying and Exploiting Spatial Regularity in Data Memory References”, Supercomputing 2003, November 2003.
  • E. Wheelhouse, C. Trinitis, M. Schulz, and A. Blaszczyk, “CAD Grid: Corporate-Wide Resource Sharing for Parameter Studies”, Euro-Par 2003, European Conference on Parallel Computing, August 2003 (LNCS, Springer Verlag ).
  • T. Mu, J. Tao, M. Schulz, and S.A. McKee, “Interactive Locality Optimizations on NUMA Architectures”, ACM Symposium on Software Visualization (Softvis), June 2003 (ACM Press).
  • M. Schulz and S.A. McKee, “A Framework for Portable Shared Memory Programming”, International Parallel and Distributed Processing Symposium (IPDPS), April 2003 (IEEE CS Press).
  • J. Tao, M. Schulz, and W. Karl, “A Simulation Tool for Evaluating Shared Memory Systems”, Annual Simulation Symposium (ASS), May 2003.
  • D. Kranzlmüller and M. Schulz, “Notes on Nondeterminism in Message Passing Programs”, 9th European PVM/MPI Users´ Group Meeting, pp. 357-367, October 2002 (LNCS, Springer Verlag).
  • C. Trinitis, M. Schulz, and W. Karl, “A Comprehensive Electric Field Simulation Environment on Top of SCI”, 9th European PVM/MPI Users´ Group Meeting, pp. 114-121, October. 2002 (LNCS, Springer Verlag).
  • C. Trinitis, M. Schulz, and W. Karl, “Boosting the Performance of Electromagnetic Simulations on a PC-Cluster”, International Conference of Parallel Computing in Electrical Engineering (PARELEC), September 2002 (IEEE CS Press).
  • M. Schulz, “Using Semantic Information to Guide Efficient Parallel I/O on Clusters”, Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing (HPDC-11), July 2002 (IEEE CS Press).
  • M. Schulz, J. Tao, C. Trinitis, and W. Karl, “SMiLE: An Integrated, Multi-Paradigm Software Infrastructure for SCI-based Clusters”, Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid), (selected for best papers publication in FGCS), May 2002 (IEEE CS Press).
  • J. Tao, M. Schulz, and W. Karl, “Improving Data Locality Using Dynamic Page Migration based on Memory Access Histograms”, Proceedings of the International Conference on Computational Science (ICCS), session on Tools for Program Development and Analysis, April 2002 (LNCS, Springer Verlag).
  • M. Schulz, “Parallel Volume Rendering based on Isosurface Extraction Using Commodity Clusters”, Visualization, Imaging, and Image Processing (VIIP), September 2001 (ACTA Press).
  • J. Tao, W. Karl, and M. Schulz, “Using Simulation to Understand the Data Layout of Programs”, Applied Simulation and Modeling (ASM), September 2001 (ACTA Press).
  • C. Trinitis, M. Schulz, M. Eberl, and W. Karl, “SCI-based LINUX PC-Clusters as a Platform for Electromagnetic Field Calculations”, 6th International Conference on Parallel Computing Technologies (PaCT 2001), September 2001 (LNCS, vol. 2127, Springer Verlag).
  • M. Schulz, “DIOM: Parallel I/O for Data Intensive Applications on Commodity Clusters”, Parallel and Distributed Computing and Systems (PDCS), August 2001 (ACTA Press).
  • W. Karl, M. Schulz, M. Völk, and S. Ziegler, “Meeting the Computational Demands of Nuclear Medical Imaging using Commodity Clusters”, International Conference on Computational Science (ICCS), May 2001 (LNCS, vol. 2074, Springer Verlag).
  • J. Tao, W. Karl, and M. Schulz, “Visualizing the Memory Access Behavior of Shared Memory Applications on NUMA Architectures”, International Conference on Computational Science (ICCS), May 2001 (LNCS, vol. 2074, Springer Verlag).
  • M. Schulz, “Efficient Deployment of shared memory models on clusters of PCs using the SMiLEing HAMSTER approach”, International Conference on Algorithms and Architectures in Parallel Processing (ICA3PP), December 2000, (World Scientific Publishing).
  • M. Schulz, “Multithreaded Programming of PC clusters”, Parallel Architectures and Compilation Techniques (PACT), October 2000 (IEEE Press).
  • W. Karl, M. Schulz, M. Völk, and S. Ziegler, “NEPHEW: Applying a Toolset for the Efficient Deployment of a Medical Image Application on SCI-based clusters”, Euro-Par 2000, European Conference on Parallel Computing, August 2000 (LNCS, vol. 1900, Springer Verlag).
  • M. Schulz, “Efficient Coherency and Synchronization Management in SCI based DSM systems”, SCI-Europe 2000, August 2000.
  • J. Tao, W. Karl, and M. Schulz, “Understanding the Behavior of Shared Memory Applications Using the SMiLE Monitoring Framework”, SCI-Europe 2000, August 2000.
  • R. Hockauf, J. Jeitner, W. Karl, R. Lindhof, M. Schulz, V. Gonzales, E. Sanquis, and G. Torralba, “Design and Implementation Aspects for the SMiLE Hardware Monitor”, SCI-Europe 2000, August 2000.
  • W. Karl, M. Schulz, and J. Tao, “Using the SMiLE Monitoring Infrastructure to Detect and Lower the Inefficiency of Parallel Applications”, HPCN-Europe, May 2000 (LNCS, vol. 1823, Springer Verlag).
  • W. Karl, M. Schulz, and J. Trinitis, “Multilayer Online-Monitoring for Hybrid DSM systems on top of PC clusters with a SMiLE”, 11th International Conference on Modeling Techniques and Tools for Computer Performance Evaluation, USA, March 2000 (LNCS, vol. 1786, Springer Verlag).
  • W. Karl, M. Leberecht, and M. Schulz, “Optimizing data locality for SCI-based PC-clusters with the SMiLE monitoring approach”, Parallel Architectures and Compilation Techniques (PACT), October 1999 (IEEE Press).
  • M. Schulz, M. Völk, W. Karl, F. Munz, and S. Ziegler, “Running a spectral analysis code on top of SCI shared memory using the TreadMarks API”, SCI-Europe '99, September 1999.
  • M. Schulz and H. Hellwagner, “Global Virtual Memory based on SCI-DSM”, SCI-Europe '98, September 1998.
  • M. Schulz, SISCI Pthreads, “SMP-like programming on an SCI-cluster”, HPCN-Europe, April 1998 (LNCS, vol. 1401, Springer Verlag).
  • X. Zhang, A. Dasdan, M. Schulz, R. Gupta, and A. Chien, “Architectural Adaptation of Application-Specific Locality Optimizations”, International Conference on Computer Design (ICCD), September 1997.

Workshop Publications

  • Thomas Becker, Dai Yang, Tilman Küstner, Martin Schulz, “Co-Scheduling in a Task-Based Programming Model”, COSH Workshop held at HiPEAC 2018.
  • Joachim Protze, Jonas Hahnfeld, Dong H. Ahn, Martin Schulz, Matthias S. Müller, “OpenMP Tools Interface: Synchronization Information for Data Race Detection.” IWOMP2017: 249-265
  • Ayush Patwari, Ignacio Laguna, Martin Schulz, Saurabh Bagchi, "Understanding the Spatial Characteristics of DRAM Errors in HPC Clusters". The 7th Workshop on Fault Tolerance for HPC at eXtreme Scale (FTXS) @HPDC, Washington, D.C., USA, Jun, 2017.
  • Kevin A. Brown, Tianqi Xu, Keita Iwabuchi, Kento Sato, Adam Moody, Kathryn Mohror, Nikhil Jain, Abhinav Bhatele, Martin Schulz, Roger A. Pearce, Maya Gokhale, Satoshi Matsuoka, “Accelerating Big Data Infrastructure and Applications (Ongoing Collaboration)”. ICDCS Workshops 2017: 343-347
  • Hormozd Gahvari, Veselin A. Dobrev, Robert D. Falgout, Tzanio V. Kolev, Jacob B. Schroder, Martin Schulz, Ulrike Meier Yang, A Performance Model for Allocating the Parallelism in a Multigrid-in-Time Solver. PMBS@SC 2016
  • Huu Tan Nguyen, Lai Wei, Abhinav Bhatele, Todd Gamblin, David Böhme, Martin Schulz, Kwan-Liu Ma, Peer-Timo Bremer, VIPACT: A Visualization Interface for Analyzing Calling Context Trees. VPA@SC 2016
  • Daniel A. Ellsworth, Tapasya Patki, Martin Schulz, Barry Rountree, Allen D. Malony, A Unified Platform for Exploring Power Management Strategies. E2SC@SC 2016
  • Tapasya Patki, David K. Lowenthal, Barry L. Rountree, Martin Schulz, Bronis R. de Supinski, Economic Viability of Hardware Overprovisioning in Power-Constrained High Performance Computing. E2SC@SC 2016
  • Joachim Protze, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Matthias S. Müller, Testing Infrastructure for OpenMP Debugging Interface Implementations. IWOMP 2016: 205-216
  • Matthias Maiterth, Martin Schulz, Barry Rountree, Dieter Kranzlmueller, “Power Balancing in an Emulated Exascale Environment”, The 12th IEEE Workshop on High-Performance, Power-Aware Computing (HPPAC) 2016, Chicago, IL, May 2016, to appear.
  • Daniel Ellsworth, Tapasya Patki, Swann Perarnau, Sangmin Seo, Kazutomo Yoshii, Henry Hoffman, Martin Schulz and Pete Beckman, “System-Wide Power Management With Argo”, The 12th IEEE Workshop on High-Performance, Power-Aware Computing (HPPAC) 2016, Chicago, IL, May 2016, to appear.
  • Simone Atzeni, Ganesh Gopalakrishnan, Zvonimir Rakamaric, Dong H. Ahn, Ignacio Laguna, Martin Schulz, Gregory L. Lee, Joachim Protze, Matthias S. Mueller, “ARCHER: Effectively Spotting Data Races in Large OpenMP Applications”, EC2 Workshop, June 2015.
  • Ananta Tiwari, Martin Schulz, Laura Carrington, “Predicting Optimal Power Allocation for CPU and DRAM Domains”, 16th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing, May 2015.
  • K. Shoga, B. Rountree, M. Schulz, “Whitelisting MSRs”, Third Workshop on Extreme-Scale Programming Tools, November 2014.
  • Hormozd Gahvari, William Gropp, Kirk Jordan, Martin Schulz and Ulrike Yang, “Algebraic Multigrid on a Dragonfly Network: First Experiences on a Cray XC30”, Fifth International Workshop on Performance Modeling, Benchmarking, and Simulation of HPC Systems (PMBS), November 2014.
  • Joachim Protze, Simone Atzeni, Dong H. Ahn, Martin Schulz, Ganesh Gopalakrishnan, Matthias Mueller, Ignacio Laguna, Zvonimir Rakamaric, Greg L. Lee, “Towards Providing Low-Overhead Data Race Detection for Large OpenMP Applications”, Workshop on the LLVM Compiler Infrastructure in HPC, November 2014.
  • Howard Pritchard, Ignacio Laguna, Kathryn Mohror, Todd Gamblin, Martin Schulz, Nickolas Davis, “A Global Exception Fault Tolerance Model for MPI”, Workshop on Exascale MPI, November 2014.
  • Martin Schulz, Abhinav Bhatele, David Boehme, Peer-Timo Bremer, Todd Gamblin, Alfredo Gimenez, Kate Isaacs, “A Flexible Data Model to Support Multi-Domain Performance Analysis”, 8th International Parallel Tools Workshop, Stuttgart, Germany, October 2014.
  • Joachim Protze, Tobias Hilbrich, Martin Schulz, Bronis R. de Supinski, Wolfgang E. Nagel and Matthias S. Mueller, “MPI Runtime Error Detection with MUST: A Scalable and Crash-Safe Approach”, Fifth International Workshop on Parallel Software Tools and Tool Infrastructures (PSTI 2014), Minneapolis, MN, September 2014.
  • Dong H. Ahn, Jim Garlick, Mark Grondona, Don Lipari, Becky Springmeyer, Martin Schulz, “Flux: A Next-Generation Resource Management Framework for Large HPC Centers”, 10th International Workshop on Scheduling and Resource Management for Parallel and Distributed Systems), Minneapolis, MN, September 2014.
  • I. Laguna, E. Leon, M. Schulz and M. Stephenson, “A Study of Application-Level Recovery Methods for Transient Network Faults”, Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems (ScalA) 2013, Denver, CO, November 2013.
  • D. Ahn, G. Lee, G. Gopalakrishnan, Z. Rakamaric, M. Schulz, I. Laguna, “Overcoming Extreme-Scale Reproducibility Challenges Through a Unified, Targeted, and Multilevel Toolset”, First International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering (SE-HPCCSE 2013), Denver, CO, November 2013.
  • M. Schulz, J. Belak, G. Bronevetsky, M. Casas, I. Laguna, D. Richards, B. Rountree, “Analyzing Future Exascale Platforms on Today’s Machines”, Workshop on Extreme-Scale Programming Tools, Denver, CO, November 2013.
  • T. Gamblin, M. Schulz, T. Bremer, and A. 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.
  • M. Schulz, J. Belak, G. Bronevetsky, I. Laguna, D. Richards, B. Rountree, “Emulating Exascale Conditions on Today’s Platforms”, In DOE Workshop on Modeling & Simulation of Exascale Systems & Applications (ModSim 2013), Seattle, WA, September 18-19 2013.
  • A. Eichenberger, J. Mellor-Crummey, M. Schulz, M. Wong, N. Copty, J. DelSignore, R. Dietrich, X. Liue, E. Loh, D. Lorenz, and other members of the OpenMP Tools Working Group, “OMPT: OpenMP Tools Application Programming Interfaces for Performance Analysis”, 9th International Workshop on OpenMP, Canberra, Australia, September 2013.
  • H. Gahvari, W.D. Gropp, K. Jordan, M. Schulz, U. Yang, “Systematic Reduction of Data Movement in Algebraic Multigrid Solvers”, Workshop on Large Scale Parallel Processing (LSPP), Camebridge, MA, May 2013.
  • Hilbrich, Tobias, Joachim Protze, Bronis R. de Supinski, Martin Schulz, Matthias Mueller and Wolfgang E. Nagel, "Intralayer Communication for Tree-Based Overlay Networks”, Fourth International Workshop on Parallel Software Tools and Tool Infrastructures (PSTI 2013), Lyon, France, October 2, 2013, (LLNL-CONF-639390).
  • Barry Rountree, Dong Ahn, Bronis R. de Supinski, David K. Lowenthal, and Martin Schulz. Beyond DVFS: A first look at performance under a hardware-enforced power bound. In 8th Workshop on High-Performance, Power-Aware Computing (HPPAC), May 2012.
  • Martin Schulz, Abhinav Bhatele, Peer-Timo Bremer, Todd Gamblin, Katherine Isaacs, Joshua A. Levine, and Valerio Pascucci. Creating a tool set for optimizing topology-aware node mappings. In 5th International Workshop on Parallel Tools, September 2011.
  • Joshua Goehner, Dorian Arnold, Dong Ahn, Gregory Lee, Bronis R. de Supinski, Matthew Legendre, Martin Schulz and Barton Miller, “A Framework for Bootstrapping Extreme Scale Software Systems”, In the First International Workshop on High-performance Infrastructure for Scalable Tools (WHIST), June 2011.
  • Barry Rountree, Guy Cobb, Todd Gamblin, Martin Schulz, Bronis R. de Supinski, and Henry Tufo. “Parallelizing heavyweight debugging tools with MPIecho.” In the First International Workshop on High-performance Infrastructure for Scalable Tools (WHIST), June 2011.
  • A. Humphrey, C. Derrick, B. Tibbitts, A. Vo, S. Vakkalanka, G. Gopalakrishnan, B. de Supinski, M. Schulz and G. Bronevetsky, “Verification for Portability, Scalability, and Grokkability”, (EC)2 2010: Workshop on Exploiting Concurrency Efficiently and Correctly, Edinburgh, UK, July 2010.
  • Bronevetsky, Greg, Ignacio Laguna, Saurabh Bagchi, Bronis R. de Supinski, Dong H. Ahn and Martin Schulz, “Statistical Fault Detection for Parallel Applications with AutomaDeD”, The 2010 IEEE Workshop on Silicon Errors in Logic - System Effects (SELSE 6), Palo Alto, CA, March 23-24, 2010, (LLNL-CONF-426254).
  • F. Mueller, X. Wu, M. Schulz, B.R. de Supinski, and T. Gamblin, “ScalaTrace: Tracing, Analysis and Modeling of HPC Codes at Scale”, Para 2010: State of the Art in Scientific and Parallel Computing, Reykjavi, June 2010.
  • T. Hilbrich, M. Schulz, B.R. de Supinski. M.S. Mueller, “MUST: A Scalable Approach to Runtime Error Detection in MPI Programs”, 3rd Parallel Tools Workshop, Dresden, Germany, September 2009.
  • S. Biswas, D. Franklin, T. Sherwood, F. Chang, B.R. de Supinski, M. Schulz, “PSMalloc: Content Based Memory Management for MPI Applications”, MEDEA 2009, Raleigh, NC, September 2009 (LLNL-PROC-414508).
  • B.R. de Supinski, R.J. Fowler, T. Gamblin, F. Mueller, P. Ratn and M. Schulz, "An Open Infrastructure for Scalable, Reconfigurable Analysis”, International Workshop on Scalable Tools for High-End Computing (STHEC), Kos, Greece, June 7, 2008, (LLNL-CONF-403954).
  • R. Preissl, M. Schulz, D. Kranzlmueller, B.R. de Supinski and D.J. Quinlan, “Using MPI Communication Patterns to Guide Source Code Transformations”, Tools for Program Development and Analysis in Computational Science, Springer LNCS, 5103, May 2008, (UCRL-CONF-400356).
  • M. Curtis-Maury, K. Singh, S.A. McKee, F. Blagojevic, D.S. Nikolopoulos, B.R. de Supinski, M. Schulz. "Identifying Energy-Efficient Concurrency Levels using Machine Learning". In Proceedings of the International Workshop on Green Computing, Austin, TX, September 2007, (UCRL-CONF-233024).
  • R. Vuduc, M. Schulz, D. Quinlan, B. R. de Supinski, and A. Saebjornsen, “Improving Distributed Memory Applications Testing by Message Perturbation”, Fourth Workshop on Parallel and Distributed Systems: Testing and Debugging (PADTAD - IV), July 17, 2006, (UCRL-PROC-221395), (Best Paper Award).
  • E. Ipek, J. Martinez, B. de Supinski, S. McKee, M. Schulz, “Dynamic Program Phase Detection in Distributed Shared-Memory Multiprocessors”, NSF Next Generation Software Program Workshop (an IPDPS 2006 Workshop), April 25, 2006, (UCRL-CONF-219596).
  • E. Ipek, M. Schulz, B. R. de Supinski, S. A. McKee, and R. Caruana. "Automatic Model Generation for Performance Prediction", Dagstuhl Workshop on Automatic Performance Analysis, Dagstuhl, Germany, December 2005, (UCRL-ABS-217735).
  • M. Schulz, D. Ahn, A. Bernat, B. R. de Supinski, S. Y. Ko, and B. Rountree, "Scalable Dynamic Instrumentation for BlueGene/L", Workshop on Binary Instrumentation and Applications (St. Louis, MO United States, September 2005), to be published ACM SIGARCH News, (UCRL-CONF-215232).
  • M. Schulz, J. May, and J. Gyllenhaal, "DynTG: A tool for Interactive, Dynamic Instrumentation", Tools for Program Development and Analysis in Computational Science, Springer LNCS, 3515, pp 140‑14, May2005, (UCRL-CONF-209840).
  • T. Suh, H.-H. S. Lee, S. A. McKee, and M. Schulz. "Evaluating System-wide Monitoring Capsule Design Using Xilinx Virtex-II Pro FPGA." In Workshop on Architecture Research using FPGA Platforms in conjunction with International Symposium on High-Performance Computer Architecture, San Francisco, CA, February, 2005.
  • M. Schulz, B. S. White, S. A. McKee, H.H.-S. Lee, and J. Jeitner, "A Vision for Next Generation System Monitoring", HPCA Workshop on Hardware Monitoring, February 2005, (UCRL-ABS-208943).
  • G. Bronevetsky G., M. Schulz, P. Szwed., D. Marques, and K. Pingali, "Checkpointing for Shared Memory Programs at the Application-level", Proceedings of the Sixth European Workshop on OpenMP, Stockholm, Sweden, Oct. 18-22, 2004, (UCRL-CONF-206542).
  • J. Tao, M. Schulz, W. Karl, “SIMT/OMP: A Toolset to Study and Exploit Memory Locality of OpenMP Applications on NUMA Architectures”, Workshop on OpenMP Applications and Tool (WOMPAT), May, 2004.
  • P. Szwed, D. Marques, Robert M. Buels, S.A. McKee, M. Schulz, “SimCheck: Fast-Forwarding via Native Execution and Application-Level Checkpointing”, Proceedings of the 8th Workshop on Interaction Between Compilers and Computer Architecture (INTERACT 8), February 2004.
  • T. Brandes, H. Schawmborn, M. Gerndt, J. Jeitner, E. Kereku, W. Karl, M. Schulz, J. Tao, H. Brunst, W. Nagel, R. Neumann, R. Mueller-Pfefferkorn, B. Trenkler, H.-C. Hoppe, „Werkzeuge für die effiziente parallele Programmierung von Cache-Architekturen”, Proceedings of the 19th PARS Workshop, March 2003.
  • M. Schulz, J. Tao, and S.A. McKee, “Local Relaxed Consistency Schemes on Shared-Memory Clusters”, Proceedings of the 2nd Workshop on System Area Networks (SAN-2), held at HPCA-9, February 2003.
  • M. Schulz and C. Trinitis, “An Integrated Parallel Simulation Environment for Electrostatic and Electromagnetic Field Distributions in High Voltage Components”, 6th Meeting of the IBM Scientific User Group, August 2002.
  • M. Schulz, J. Tao, and W. Karl, “Improving the Scalability of Shared Memory Systems through Relaxed Consistency”, Second Workshop on Caching, Coherence and Consistency (WC3 '02) / held together with ICS'02, June 2002.
  • M. Schulz, J. Tao, J. Jeitner, and W. Karl, “A Proposal for a New Hardware Cache Monitoring Architecture”, ACM SIGPLAN workshop on Memory Systems Performance (MSP), held together with PLDI 2002, June 2002.
  • M. Schulz, “Overcoming the Problems Associated with the Existence of Too Many DSM APIs”, Proceedings of the 2002 International Workshop on Distributed Shared Memory on Clusters, held together with CCGrid02, May 2002 (IEEE CS Press).
  • J. Tao, W. Karl, and M. Schulz, “A Novel Approach for Data Distribution on NUMA Machines”, Proceedings of the 6th German workshop on Parallel Systems and Algorithms, April 2002.
  • M. Gerndt, A. Schmidt, M. Schulz, and R. Wismüller, “Perfomance Analysis of Teraflop Computers – A Distributed Automatic Approach”, 10th Euromicro Workshop on Parallel, Distributed, and Network Processing (PDP), January 2002.
  • W. Karl and M. Schulz, “Hybrid-DSM: An Efficient Alternative to Pure Software DSM Systems on NUMA Architectures”, 2nd International Workshop on Software DSM, held together with ICS 2000, May 2000.
  • M. Schulz, “SCI-VM: A flexible base for transparent shared memory programming models on clusters of PCs”, High level Programming Models and Supportive Environments (HIPS '99), held together with IPDPS 1999, April 1999 (LNCS, vol. 1586, Springer Verlag).
  • M. Eberl, W. Karl, M. Leberecht, and M. Schulz, „Eine Software-Infrastruktur für Nachrichtenaustausch und gemeinsamen Speicher auf SCI-basierten PC-Clustern“, 2. Workshop on Cluster Computing, March 1999.
  • W. Karl, M. Leberecht, and M. Schulz, “Supporting Shared Memory and Message Passing on Clusters of PCs with a SMiLE”, 3rd International Workshop on Communication, Architecture and Applications for Network-Based Parallel Computing (CANPC '99), held together with HPCA, January 1999 (LNCS, vol. 1602, Springer Verlag).
  • M. Eberl, H. Hellwagner, B. Herland, and M. Schulz, “SISCI - Implementing a Standard Software Infrastructure on an SCI Cluster”, 1. Workshop on Cluster Computing, November 1997.

Keynote Presentations

  • “A Case for More Adaptivity in MPI”, Invited Keynote Talk at EuroMPI 2018, Barcelona, Spain, September 2018.
  • “Just Writing a Standard is Not Enough!”, Invited Keynote Talk at MVAPICH User Group (MUG) Meeting, Columbus, OH, USA, August 2018.
  • “Designing a Power and Energy Stack for Exascale Systems”, Invited Keynote Talk at IEEE CoolChips 2018, Yokohama, Japan, April 2018.
  • “Performance Analysis Techniques for the Exascale Co-Design Process”, Invited Keynote Talk at ParCo 2013, Munich, Germany, September 2013.
  • “Approaches for Scalable Performance Analysis and Optimization”, DOE CSGF HPC Workshop, Washington DC, July 2012.
  • “Building Specialized Tools Using Tool Component Frameworks”, Keynote Presentation at 2nd International Workshop on Parallel Software Tools and Tool Infrastructures (PSTI 2012), Taipei, Taiwan, September 2012.
  • “Keeping up with Growing Machine Sizes: Challenges and Opportunities for Scaling Tools”, Opening Keynote at EuroPar 2008, Las Palmas de Gran Canaria, August 2008.
  • “Scalable Performance Analysis: From Open|SpeedShop to a Community Infrastructure”, Invited Keynote presentation at PROPER 2008, August 2008.
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