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Title:
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Martin Schulz: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Peter K. Szwed, Daniel Marques, Robert M. Buels, Sally A. McKee, Martin Schulz
    SimSnap: Fast-Forwarding via Native Execution and Application-Level Checkpointing. [Citation Graph (0, 0)][DBLP]
    Interaction between Compilers and Computer Architectures, 2004, pp:65-74 [Conf]
  2. Wolfgang Karl, Markus Leberecht, Martin Schulz
    Optimizing Data Locality for SCI-Based PC-Clusters with the SmiLE Monitoring Approach. [Citation Graph (0, 0)][DBLP]
    IEEE PACT, 1999, pp:169-176 [Conf]
  3. Martin Schulz
    Multithreaded Programming of PC Clusters. [Citation Graph (0, 0)][DBLP]
    IEEE PACT, 2000, pp:271-280 [Conf]
  4. Jie Tao, Martin Schulz, Wolfgang Karl
    A Simulation Tool for Evaluating Shared Memory Systems. [Citation Graph (0, 0)][DBLP]
    Annual Simulation Symposium, 2003, pp:335-342 [Conf]
  5. Greg Bronevetsky, Daniel Marques, Keshav Pingali, Peter K. Szwed, Martin Schulz
    Application-level checkpointing for shared memory programs. [Citation Graph (0, 0)][DBLP]
    ASPLOS, 2004, pp:235-247 [Conf]
  6. Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R. de Supinski, Martin Schulz
    Efficiently exploring architectural design spaces via predictive modeling. [Citation Graph (0, 0)][DBLP]
    ASPLOS, 2006, pp:195-206 [Conf]
  7. Wolfgang Karl, Markus Leberecht, Martin Schulz
    Supporting Shared Memory and Message Passing on Clusters of PCs with a SMiLE. [Citation Graph (0, 0)][DBLP]
    CANPC, 1999, pp:196-210 [Conf]
  8. Martin Schulz
    Overcoming the Problems Associated with the Existence of Too Many DSM APIs. [Citation Graph (0, 0)][DBLP]
    CCGRID, 2002, pp:319-324 [Conf]
  9. Martin Schulz, Jie Tao, Carsten Trinitis, Wolfgang Karl
    SMiLE: An Integrated, Multi-Paradigm Software Infrastructure for SCI-Based Clusters. [Citation Graph (0, 0)][DBLP]
    CCGRID, 2002, pp:247-254 [Conf]
  10. Martin Schulz, Brian S. White, Sally A. McKee, Hsien-Hsin S. Lee, Jürgen Jeitner
    Owl: next generation system monitoring. [Citation Graph (0, 0)][DBLP]
    Conf. Computing Frontiers, 2005, pp:116-124 [Conf]
  11. Wolfgang Karl, Martin Schulz, Jörg Trinitis
    Multilayer Online-Monitoring for Hybrid DSM Systems on Top of PC Clusters with a SMiLE. [Citation Graph (0, 0)][DBLP]
    Computer Performance Evaluation / TOOLS, 2000, pp:294-308 [Conf]
  12. Engin Ipek, Bronis R. de Supinski, Martin Schulz, Sally A. McKee
    An Approach to Performance Prediction for Parallel Applications. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2005, pp:196-205 [Conf]
  13. Wolfgang Karl, Martin Schulz, Martin Völk, Sibylle Ziegler
    NEPHEW: Applying a Toolset for the Efficient Deployment of a Medical Image Application on SCI-Based Clusters. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2000, pp:851-860 [Conf]
  14. Ed Wheelhouse, Carsten Trinitis, Martin Schulz
    CAD Grid: Corporate-Wide Resource Sharing for Parameter Studies. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2003, pp:433-440 [Conf]
  15. Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski
    Exploring Unexpected Behavior in MPI. [Citation Graph (0, 0)][DBLP]
    HPCC, 2006, pp:843-852 [Conf]
  16. Martin Schulz
    SISCI-Pthreads, SMP-like programming on an SCI-cluster. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 1998, pp:566-575 [Conf]
  17. Jie Tao, Wolfgang Karl, Martin Schulz
    Using the SMiLE Monitoring Infrastructure to Detect and Lower the Inefficiency of Parallel Applications. [Citation Graph (0, 0)][DBLP]
    HPCN Europe, 2000, pp:270-279 [Conf]
  18. Martin Schulz
    Using Semantic Information to Guide Efficient Parallel I/O on Clusters. [Citation Graph (0, 0)][DBLP]
    HPDC, 2002, pp:135-142 [Conf]
  19. Wolfgang Karl, Martin Schulz, Martin Völk, Sibylle Ziegler
    Meeting the Computational Demands of Nuclear Medical Imaging Using Commodity Clusters. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2001, pp:27-36 [Conf]
  20. Martin Schulz, John May, John C. Gyllenhaal
    DynTG: A Tool for Interactive, Dynamic Instrumentation. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2005, pp:140-148 [Conf]
  21. Jie Tao, Wolfgang Karl, Martin Schulz
    Visualizing the Memory Access Behavior of Shared Memory Applications on NUMA Architectures. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2001, pp:861-870 [Conf]
  22. Jie Tao, Martin Schulz, Wolfgang Karl
    Improving Data Locality Using Dynamic Page Migration Based on Memory Access Histograms. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (2), 2002, pp:933-942 [Conf]
  23. Xingbin Zhang, Ali Dasdan, Martin Schulz, Rajesh K. Gupta, Andrew A. Chien
    Architectural Adaptation for Application-Specific Locality Optimization. [Citation Graph (0, 0)][DBLP]
    ICCD, 1997, pp:150-156 [Conf]
  24. Martin Schulz, Bronis R. de Supinski
    A Flexible and Dynamic Infrastructure for MPI Tool Interoperability. [Citation Graph (0, 0)][DBLP]
    ICPP, 2006, pp:193-202 [Conf]
  25. Brian S. White, Sally A. McKee, Bronis R. de Supinski, Brian Miller, Daniel J. Quinlan, Martin Schulz
    Improving the computational intensity of unstructured mesh applications. [Citation Graph (0, 0)][DBLP]
    ICS, 2005, pp:341-350 [Conf]
  26. Martin Schulz
    Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS 2000). [Citation Graph (0, 0)][DBLP]
    IPDPS Workshops, 2000, pp:257-260 [Conf]
  27. Martin Schulz
    SCI-VM: A Flexible Base for Transparent Shared Memory Programming Models on Clusters of PCs. [Citation Graph (0, 0)][DBLP]
    IPPS/SPDP Workshops, 1999, pp:19-33 [Conf]
  28. Martin Schulz, Sally A. McKee
    A Framework for Portable Shared Memory Programming. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2003, pp:54- [Conf]
  29. Engin Ipek, José F. Martínez, Bronis R. de Supinski, Sally A. McKee, Martin Schulz
    Dynamic program phase detection in distributed shared-memory multiprocessors. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2006, pp:- [Conf]
  30. Martin Schulz, Jie Tao, Jürgen Jeitner, Wolfgang Karl
    A proposal for a new hardware cache monitoring architecture. [Citation Graph (0, 0)][DBLP]
    MSP/ISMM, 2002, pp:76-85 [Conf]
  31. Carsten Trinitis, Martin Schulz, Michael Eberl, Wolfgang Karl
    SCI-Based LINUX PC-Clusters as a Platform for Electromagnetic Field Calculations. [Citation Graph (0, 0)][DBLP]
    PaCT, 2001, pp:510-514 [Conf]
  32. Carsten Trinitis, Martin Schulz, Wolfgang Karl
    Boosting the Performance of Electromagnetic Simulations on a PC-Cluster. [Citation Graph (0, 0)][DBLP]
    PARELEC, 2002, pp:369-374 [Conf]
  33. Michael Gerndt, Andreas Schmidt, Martin Schulz, Roland Wismüller
    Performance Analysis for Teraflop Computers: A Distributed Automatic Approach. [Citation Graph (0, 0)][DBLP]
    PDP, 2002, pp:23-30 [Conf]
  34. Benjamin C. Lee, David M. Brooks, Bronis R. de Supinski, Martin Schulz, Karan Singh, Sally A. McKee
    Methods of inference and learning for performance modeling of parallel applications. [Citation Graph (0, 0)][DBLP]
    PPOPP, 2007, pp:249-258 [Conf]
  35. Dieter Kranzlmüller, Martin Schulz
    Notes on Nondeterminism in Message Passing Programs. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2002, pp:357-367 [Conf]
  36. Martin Schulz, Carsten Trinitis
    4th International Special Session on: Current Trends in Numerical Simulation for Parallel Engineering Environments ParSim 2005. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2005, pp:502-503 [Conf]
  37. Carsten Trinitis, Martin Schulz
    Current Trends in Numerical Simulation for Parallel Engineering Environments. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2002, pp:61- [Conf]
  38. Carsten Trinitis, Martin Schulz
    Special Session of EuroPVM/MPI 2003: Current Trends in Numerical Simulation for Parallel Engineering Environments - ParSim 2003. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2003, pp:661-662 [Conf]
  39. Carsten Trinitis, Martin Schulz
    Current Trends in Numerical Simulation for Parallel Engineering Environments. ParSim 2004. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2004, pp:415-416 [Conf]
  40. Carsten Trinitis, Martin Schulz
    5th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2006, pp:356-357 [Conf]
  41. Carsten Trinitis, Martin Schulz, Wolfgang Karl
    A Comprehensive Electric Field Simulation Environment on Top of SCI. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2002, pp:114-121 [Conf]
  42. Tushar Mohan, Bronis R. de Supinski, Sally A. McKee, Frank Mueller, Andy Yoo, Martin Schulz
    Identifying and Exploiting Spatial Regularity in Data Memory References. [Citation Graph (0, 0)][DBLP]
    SC, 2003, pp:49- [Conf]
  43. Martin Schulz, Greg Bronevetsky, Rohit Fernandes, Daniel Marques, Keshav Pingali, Paul Stodghill
    Implementation and Evaluation of a Scalable Application-Level Checkpoint-Recovery Scheme for MPI Programs. [Citation Graph (0, 0)][DBLP]
    SC, 2004, pp:38- [Conf]
  44. Michael Noeth, Jaydeep Marathe, Frank Mueller, Martin Schulz, Bronis R. de Supinski
    Poster reception - Scalable compression and replay of communication traces in massively parallel environments. [Citation Graph (0, 0)][DBLP]
    SC, 2006, pp:144- [Conf]
  45. François Gygi, Erik W. Draeger, Martin Schulz, Bronis R. de Supinski, John A. Gunnels, Vernon Austel, James Sexton, Franz Franchetti, Stefan Kral, Christoph W. Ueberhuber, Juergen Lorenz
    Gordon Bell finalists I - Large-scale electronic structure calculations of high-Z metals on the BlueGene/L platform. [Citation Graph (0, 0)][DBLP]
    SC, 2006, pp:45- [Conf]
  46. Bernhard Aichinger, Martin Schulz, Dieter Kranzlmüller, Thomas Köckerbauer, Bronis R. de Supinski
    Poster reception - Patterns in parallel programs: toward high-level understanding of large-scale traces. [Citation Graph (0, 0)][DBLP]
    SC, 2006, pp:176- [Conf]
  47. Martin Schulz
    True Shared Memory Programming on SCI-Based Clusters. [Citation Graph (0, 0)][DBLP]
    Scalable Coherent Interface, 1999, pp:291-311 [Conf]
  48. Martin Schulz, Thomas Reuding, Edith Zimmermann, Thomas Ertl
    VRML-basierte Visualisierung von Finite Elemente Berechnungen im Intranet. [Citation Graph (0, 0)][DBLP]
    SimVis, 1999, pp:33-42 [Conf]
  49. Tao Mu, Jie Tao, Martin Schulz, Sally A. McKee
    Interactive Locality Optimization on NUMA Architectures. [Citation Graph (0, 0)][DBLP]
    SOFTVIS, 2003, pp:133-141 [Conf]
  50. Herbert Klaeren, Martin Schulz
    Computable Algebras, Word Problems and Canonical Term Algebras. [Citation Graph (0, 0)][DBLP]
    Theoretical Computer Science, 1981, pp:203-213 [Conf]
  51. Martin Schulz
    Parallel Volume Rendering based on Isosurface Extraction using Commodity Clusters. [Citation Graph (0, 0)][DBLP]
    VIIP, 2001, pp:157-162 [Conf]
  52. Martin Schulz, Frank Reck, Wolf Bartelheimer, Thomas Ertl
    Interacitve Visualization of Fluid Dynamics Simulations in Locally Refined Cartesian Grids. [Citation Graph (0, 0)][DBLP]
    IEEE Visualization, 1999, pp:413-416 [Conf]
  53. Simon Stegmaier, Martin Schulz, Thomas Ertl
    Resampling of Large Datasets for Industrial Flow Visualization. [Citation Graph (0, 0)][DBLP]
    VMV, 2003, pp:375-382 [Conf]
  54. Jie Tao, Martin Schulz, Wolfgang Karl
    SIMT/OMP: A Toolset to Study and Exploit Memory Locality of OpenMP Applications on NUMA Architectures. [Citation Graph (0, 0)][DBLP]
    WOMPAT, 2004, pp:41-52 [Conf]
  55. Thomas Brandes, Helmut Schwamborn, Michael Gerndt, Jürgen Jeitner, Edmond Kereku, Martin Schulz, Holger Brunst, Wolfgang E. Nagel, Reinhard Neumann, Ralph Müller-Pfefferkorn, Bernd Trenkler, Wolfgang Karl, Jie Tao, Hans-Christian Hoppe
    Monitoring cache behavior on parallel SMP architectures and related programming tools. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2005, v:21, n:8, pp:1298-1311 [Journal]
  56. Martin Schulz, Jie Tao, Carsten Trinitis, Wolfgang Karl
    SMiLE: an integrated, multi-paradigm software infrastructure for SCI-basedclusters. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2003, v:19, n:4, pp:521-532 [Journal]
  57. Jie Tao, Martin Schulz, Wolfgang Karl
    ARS: an adaptive runtime system for locality optimization. [Citation Graph (0, 0)][DBLP]
    Future Generation Comp. Syst., 2003, v:19, n:5, pp:761-776 [Journal]
  58. Jie Tao, Martin Schulz, Wolfgang Karl
    Simulation as a tool for optimizing memory accesses on NUMA machines. [Citation Graph (0, 0)][DBLP]
    Perform. Eval., 2005, v:60, n:1-4, pp:31-50 [Journal]
  59. Jie Tao, Wolfgang Karl, Martin Schulz
    Memory access behavior analysis of NUMA-based shared memory programs. [Citation Graph (0, 0)][DBLP]
    Scientific Programming, 2002, v:10, n:1, pp:45-53 [Journal]
  60. Martin Schulz, Bronis R. de Supinski
    Practical Differential Profiling. [Citation Graph (0, 0)][DBLP]
    Euro-Par, 2007, pp:97-106 [Conf]
  61. Dorian C. Arnold, Dong H. Ahn, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz
    Stack Trace Analysis for Large Scale Debugging. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2007, pp:1-10 [Conf]
  62. Michael Noeth, Frank Mueller, Martin Schulz, Bronis R. de Supinski
    Scalable Compression and Replay of Communication Traces in Massively P arallel E nvironments. [Citation Graph (0, 0)][DBLP]
    IPDPS, 2007, pp:1-11 [Conf]
  63. Carsten Trinitis, Martin Schulz
    6th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments New Directions and Work-in-Progress ParSim 2007. [Citation Graph (0, 0)][DBLP]
    PVM/MPI, 2007, pp:354-355 [Conf]
  64. Gregory L. Lee, Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Barry Rountree
    Dynamic Binary Instrumentation and Data Aggregation on Large Scale Systems. [Citation Graph (0, 0)][DBLP]
    International Journal of Parallel Programming, 2007, v:35, n:3, pp:207-232 [Journal]

  65. Prediction models for multi-dimensional power-performance optimization on many cores. [Citation Graph (, )][DBLP]


  66. Identifying energy-efficient concurrency levels using machine learning. [Citation Graph (, )][DBLP]


  67. Topic 2: Performance Prediction and Evaluation. [Citation Graph (, )][DBLP]


  68. Comparing Scalability Prediction Strategies on an SMP of CMPs. [Citation Graph (, )][DBLP]


  69. Using MPI Communication Patterns to Guide Source Code Transformations. [Citation Graph (, )][DBLP]


  70. Overcoming Scalability Challenges for Tool Daemon Launching. [Citation Graph (, )][DBLP]


  71. Detecting Patterns in MPI Communication Traces. [Citation Graph (, )][DBLP]


  72. A graph based approach for MPI deadlock detection. [Citation Graph (, )][DBLP]


  73. Adagio: making DVS practical for complex HPC applications. [Citation Graph (, )][DBLP]


  74. Clustering performance data efficiently at massive scales. [Citation Graph (, )][DBLP]


  75. A regression-based approach to scalability prediction. [Citation Graph (, )][DBLP]


  76. Preserving time in large-scale communication traces. [Citation Graph (, )][DBLP]


  77. Machine learning based online performance prediction for runtime parallelization and task scheduling. [Citation Graph (, )][DBLP]


  78. Improving distributed memory applications testing by message perturbation. [Citation Graph (, )][DBLP]


  79. Benchmarking the Stack Trace Analysis Tool for BlueGene/L. [Citation Graph (, )][DBLP]


  80. 7th. [Citation Graph (, )][DBLP]


  81. On the Performance of Transparent MPI Piggyback Messages. [Citation Graph (, )][DBLP]


  82. 8th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments. [Citation Graph (, )][DBLP]


  83. Bounding energy consumption in large-scale MPI programs. [Citation Graph (, )][DBLP]


  84. PNMPI tools: a whole lot greater than the sum of their parts. [Citation Graph (, )][DBLP]


  85. Scalable load-balance measurement for SPMD codes. [Citation Graph (, )][DBLP]


  86. Lessons learned at 208K: towards debugging millions of cores. [Citation Graph (, )][DBLP]


  87. Scalable temporal order analysis for large scale debugging. [Citation Graph (, )][DBLP]


  88. Analyzing Engineering Simulations in a Virtual Environment. [Citation Graph (, )][DBLP]


  89. Predicting parallel application performance via machine learning approaches. [Citation Graph (, )][DBLP]


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