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Martin Schulz
Author information
- affiliation: Lawrence Livermore National Laboratory, Computer Science Group
Other persons with the same name
- Martin Schulz 0002 — German Graduate School of Management and Law
- Martin Schulz 0003 — RWTH Aachen, Department of Computer Science
- Martin Schulz 0004 — University of British Columbia, Faculty of Commerce & Business Administration
- Martin Schulz 0005 — science + computing ag
2010 – today
- 2013
[j18]Barry Rountree, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, David K. Lowenthal, Guy Cobb, Henry Tufo: Parallelizing heavyweight debugging tools with mpiecho. Parallel Computing 39(3): 156-166 (2013)- [j17]J. D. Goehner, Dorian C. Arnold, Dong H. Ahn, Gregory L. Lee, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz: LIBI: A framework for bootstrapping extreme scale software systems. Parallel Computing 39(3): 167-176 (2013)
- [j16]Dong Li, Bronis R. de Supinski, Martin Schulz, Dimitrios S. Nikolopoulos, Kirk W. Cameron: Strategies for Energy-Efficient Resource Management of Hybrid Programming Models. IEEE Trans. Parallel Distrib. Syst. 24(1): 144-157 (2013)
- [c113]Reiner John, Martin Schulz, Ovidiu Vermesan, Kai Kriegel: Semiconductor technologies for smart mobility management. DATE 2013: 1749-1752
- [c112]Aniruddha Marathe, Rachel Harris, David K. Lowenthal, Bronis R. de Supinski, Barry Rountree, Martin Schulz, Xin Yuan: A comparative study of high-performance computing on the cloud. HPDC 2013: 239-250
- [c111]Tapasya Patki, David K. Lowenthal, Barry Rountree, Martin Schulz, Bronis R. de Supinski: Exploring hardware overprovisioning in power-constrained, high performance computing. ICS 2013: 173-182
- 2012
- [j15]Aaditya G. Landge, Joshua A. Levine, Abhinav Bhatele, Katherine E. Isaacs, Todd Gamblin, Martin Schulz, Steve H. Langer, Peer-Timo Bremer, Valerio Pascucci: Visualizing Network Traffic to Understand the Performance of Massively Parallel Simulations. IEEE Trans. Vis. Comput. Graph. 18(12): 2467-2476 (2012)
- [c110]Hormozd Gahvari, William Gropp, Kirk E. Jordan, Martin Schulz, Ulrike Meier Yang: Modeling the Performance of an Algebraic Multigrid Cycle Using Hybrid MPI/OpenMP. ICPP 2012: 128-137
- [c109]Chen-Han Ho, Marc de Kruijf, Karthikeyan Sankaralingam, Barry Rountree, Martin Schulz, Bronis R. de Supinski: Mechanisms and Evaluation of Cross-Layer Fault-Tolerance for Supercomputing. ICPP 2012: 510-519
- [c108]Marc Casas-Guix, Bronis R. de Supinski, Greg Bronevetsky, Martin Schulz: Fault resilience of the algebraic multi-grid solver. ICS 2012: 91-100
- [c107]Olga Pearce, Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Nancy M. Amato: Quantifying the effectiveness of load balance algorithms. ICS 2012: 185-194
- [c106]Barry Rountree, Dong H. Ahn, Bronis R. de Supinski, David K. Lowenthal, Martin Schulz: Beyond DVFS: A First Look at Performance under a Hardware-Enforced Power Bound. IPDPS Workshops 2012: 947-953
- [c105]David Böhme, Felix Wolf, Bronis R. de Supinski, Martin Schulz, Markus Geimer: Scalable Critical-Path Based Performance Analysis. IPDPS 2012: 1330-1340
- [c104]Tobias Hilbrich, Matthias S. Müller, Bronis R. de Supinski, Martin Schulz, Wolfgang E. Nagel: GTI: A Generic Tools Infrastructure for Event-Based Tools in Parallel Systems. IPDPS 2012: 1364-1375
- [c103]Spyros Lyberis, Polyvios Pratikakis, Dimitrios S. Nikolopoulos, Martin Schulz, Todd Gamblin, Bronis R. de Supinski: The myrmics memory allocator: hierarchical, message-passing allocation for global address spaces. ISMM 2012: 15-24
- [c102]Tobias Hilbrich, Joachim Protze, Martin Schulz, Bronis R. de Supinski, Matthias S. Müller: MPI runtime error detection with MUST: advances in deadlock detection. SC 2012: 30
- [c101]Abhinav Bhatele, Todd Gamblin, Katherine E. Isaacs, Brian T. N. Gunney, Martin Schulz, Peer-Timo Bremer, Bernd Hamann: Novel views of performance data to analyze large-scale adaptive applications. SC 2012: 31
- [c100]Stephen Olivier, Bronis R. de Supinski, Martin Schulz, Jan F. Prins: Characterizing and mitigating work time inflation in task parallel programs. SC 2012: 65
- [c99]Martin Schindewolf, Barna L. Bihari, John C. Gyllenhaal, Martin Schulz, Amy Wang, Wolfgang Karl: What scientific applications can benefit from hardware transactional memory? SC 2012: 90
- [c98]Abhinav Bhatele, Todd Gamblin, Steve H. Langer, Peer-Timo Bremer, Erik W. Draeger, Bernd Hamann, Katherine E. Isaacs, Aaditya G. Landge, Joshua A. Levine, Valerio Pascucci, Martin Schulz, Charles H. Still: Mapping applications with collectives over sub-communicators on torus networks. SC 2012: 97
- [c97]Hormozd Gahvari, William Gropp, Kirk E. Jordan, Martin Schulz, Ulrike Meier Yang: Performance Modeling of Algebraic Multigrid on Blue Gene/Q: Lessons Learned. SC Companion 2012: 377-385
- 2011
- [j14]Ganesh Gopalakrishnan, Robert M. Kirby, Stephen F. Siegel, Rajeev Thakur, William Gropp, Ewing L. Lusk, Bronis R. de Supinski, Martin Schulz, Greg Bronevetsky: Formal analysis of MPI-based parallel programs. Commun. ACM 54(12): 82-91 (2011)
- [c96]Anh Vo, Ganesh Gopalakrishnan, Robert M. Kirby, Bronis R. de Supinski, Martin Schulz, Greg Bronevetsky: Large Scale Verification of MPI Programs Using Lamport Clocks with Lazy Update. PACT 2011: 330-339
- [c95]Dong Li, Kirk W. Cameron, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz: Scalable memory registration for high performance networks using helper threads. Conf. Computing Frontiers 2011: 38
- [c94]Barry Rountree, David K. Lowenthal, Martin Schulz, Bronis R. de Supinski: Practical performance prediction under Dynamic Voltage Frequency Scaling. IGCC 2011: 1-8
- [c93]Martin Schulz, Joshua A. Levine, Peer-Timo Bremer, Todd Gamblin, Valerio Pascucci: Interpreting Performance Data across Intuitive Domains. ICPP 2011: 206-215
- [c92]Hormozd Gahvari, Allison H. Baker, Martin Schulz, Ulrike Meier Yang, Kirk E. Jordan, William Gropp: Modeling the performance of an algebraic multigrid cycle on HPC platforms. ICS 2011: 172-181
- [c91]Susmit Biswas, Bronis R. de Supinski, Martin Schulz, Diana Franklin, Timothy Sherwood, Frederic T. Chong: Exploiting Data Similarity to Reduce Memory Footprints. IPDPS 2011: 152-163
- [c90]Allison H. Baker, Todd Gamblin, Martin Schulz, Ulrike Meier Yang: Challenges of Scaling Algebraic Multigrid Across Modern Multicore Architectures. IPDPS 2011: 275-286
- [c89]Zoltán 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. IPDPS 2011: 640-651
- [c88]Tobias Hilbrich, Matthias S. Müller, Martin Schulz, Bronis R. de Supinski: Order Preserving Event Aggregation in TBONs. EuroMPI 2011: 19-28
- [c87]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. SC 2011: 50
- [r1]
- 2010
- [j13]Robert Preissl, Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski, Daniel J. Quinlan: Transforming MPI source code based on communication patterns. Future Generation Comp. Syst. 26(1): 147-154 (2010)
- [c86]Greg Bronevetsky, Ignacio Laguna, Saurabh Bagchi, Bronis R. de Supinski, Dong H. Ahn, Martin Schulz: AutomaDeD: Automata-based debugging for dissimilar parallel tasks. DSN 2010: 231-240
- [c85]Karan Singh, Matthew Curtis-Maury, Sally A. McKee, Filip Blagojevic, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz: Comparing Scalability Prediction Strategies on an SMP of CMPs. Euro-Par (1) 2010: 143-155
- [c84]Robert Preissl, Bronis R. de Supinski, Martin Schulz, Daniel J. Quinlan, Dieter Kranzlmüller, Thomas Panas: Exploitation of Dynamic Communication Patterns through Static Analysis. ICPP 2010: 51-60
- [c83]Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, Daniel A. Reed: Clustering performance data efficiently at massive scales. ICS 2010: 243-252
- [c82]Bradley J. Barnes, Jeonifer Garren, David K. Lowenthal, Jaxk Reeves, Bronis R. de Supinski, Martin Schulz, Barry Rountree: Using focused regression for accurate time-constrained scaling of scientific applications. IPDPS 2010: 1-12
- [c81]Dong Li, Dimitrios S. Nikolopoulos, Kirk W. Cameron, Bronis R. de Supinski, Martin Schulz: Power-aware MPI task aggregation prediction for high-end computing systems. IPDPS 2010: 1-12
- [c80]Dong Li, Bronis R. de Supinski, Martin Schulz, Kirk W. Cameron, Dimitrios S. Nikolopoulos: Hybrid MPI/OpenMP power-aware computing. IPDPS 2010: 1-12
- [c79]Frank Mueller, Xing Wu, Martin Schulz, Bronis R. de Supinski, Todd Gamblin: ScalaTrace: Tracing, Analysis and Modeling of HPC Codes at Scale. PARA (2) 2010: 410-418
- [c78]Anh Vo, Sriram Aananthakrishnan, Ganesh Gopalakrishnan, Bronis R. de Supinski, Martin Schulz, Greg Bronevetsky: A Scalable and Distributed Dynamic Formal Verifier for MPI Programs. SC 2010: 1-10
- [c77]Allison H. Baker, Martin Schulz, Ulrike Meier Yang: On the Performance of an Algebraic Multigrid Solver on Multicore Clusters. VECPAR 2010: 102-115
2000 – 2009
- 2009
- [j12]Michael Noeth, Prasun Ratn, Frank Mueller, Martin Schulz, Bronis R. de Supinski: ScalaTrace: Scalable compression and replay of communication traces for high-performance computing. J. Parallel Distrib. Comput. 69(8): 696-710 (2009)
- [c76]Tobias Hilbrich, Bronis R. de Supinski, Martin Schulz, Matthias S. Müller: A graph based approach for MPI deadlock detection. ICS 2009: 296-305
- [c75]Barry Rountree, David K. Lowenthal, Bronis R. de Supinski, Martin Schulz, Vincent W. Freeh, Tyler K. Bletsch: Adagio: making DVS practical for complex HPC applications. ICS 2009: 460-469
- [c74]Jiangtian Li, Xiaosong Ma, Karan Singh, Martin Schulz, Bronis R. de Supinski, Sally A. McKee: Machine learning based online performance prediction for runtime parallelization and task scheduling. ISPASS 2009: 89-100
- [c73]Tobias Hilbrich, Martin Schulz, Bronis R. de Supinski, Matthias S. Müller: MUST: A Scalable Approach to Runtime Error Detection in MPI Programs. Parallel Tools Workshop 2009: 53-66
- [c72]Carsten Trinitis, Michael Bader, Martin Schulz: 8th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments. PVM/MPI 2009: 292-293
- [c71]Dong H. Ahn, Bronis R. de Supinski, Ignacio Laguna, Gregory L. Lee, Ben Liblit, Barton P. Miller, Martin Schulz: Scalable temporal order analysis for large scale debugging. SC 2009
- 2008
- [j11]Bronis R. de Supinski, Martin Schulz, Vasily Bulatov, William H. Cabot, Bor Chan, Andrew W. Cook, Erik W. Draeger, James N. Glosli, Jeffrey A. Greenough, Keith W. Henderson, Alison Kubota, Steve Louis, Brian J. Miller, Mehul V. Patel, Thomas E. Spelce, Frederick H. Streitz, Peter L. Williams, Robert K. Yates, Andy Yoo, George Almási, Gyan Bhanot, Alan Gara, John A. Gunnels, Manish Gupta, José E. Moreira, James C. Sexton, Robert Walkup, Charles Archer, François Gygi, Timothy C. Germann, Kai Kadau, Peter S. Lomdahl, Charles A. Rendleman, Michael L. Welcome, William McLendon, Bruce Hendrickson, Franz Franchetti, Stefan Kral, Juergen Lorenz, Christoph W. Überhuber, Edmond Chow, Ümit V. Çatalyürek: BlueGene/L applications: Parallelism On a Massive Scale. IJHPCA 22(1): 33-51 (2008)
- [j10]Martin Schulz, Jim Galarowicz, Don Maghrak, William Hachfeld, David Montoya, Scott Cranford: Open | SpeedShop: An open source infrastructure for parallel performance analysis. Scientific Programming 16(2-3): 105-121 (2008)
- [j9]Engin Ipek, Sally A. McKee, Karan Singh, Rich Caruana, Bronis R. de Supinski, Martin Schulz: Efficient architectural design space exploration via predictive modeling. TACO 4(4) (2008)
- [c70]Matthew Curtis-Maury, Ankur Shah, Filip Blagojevic, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz: Prediction models for multi-dimensional power-performance optimization on many cores. PACT 2008: 250-259
- [c69]Francisco Almeida, Michael Gerndt, Adolfy Hoisie, Martin Schulz: Topic 2: Performance Prediction and Evaluation. Euro-Par 2008: 89
- [c68]Robert Preissl, Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski, Daniel J. Quinlan: Using MPI Communication Patterns to Guide Source Code Transformations. ICCS (3) 2008: 253-260
- [c67]Robert Preissl, Thomas Köckerbauer, Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski, Daniel J. Quinlan: Detecting Patterns in MPI Communication Traces. ICPP 2008: 230-237
- [c66]Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Gregory L. Lee, Barton P. Miller, Martin Schulz: Overcoming Scalability Challenges for Tool Daemon Launching. ICPP 2008: 578-585
- [c65]Prasun Ratn, Frank Mueller, Bronis R. de Supinski, Martin Schulz: Preserving time in large-scale communication traces. ICS 2008: 46-55
- [c64]Bradley J. Barnes, Barry Rountree, David K. Lowenthal, Jaxk Reeves, Bronis R. de Supinski, Martin Schulz: A regression-based approach to scalability prediction. ICS 2008: 368-377
- [c63]Martin Schulz, Greg Bronevetsky, Bronis R. de Supinski: On the Performance of Transparent MPI Piggyback Messages. PVM/MPI 2008: 194-201
- [c62]Carsten Trinitis, Martin Schulz: 7th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments: New Directions and Work-in-Progress (ParSim 2008). PVM/MPI 2008: 283-284
- [c61]Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Matthew P. LeGendre, Barton P. Miller, Martin Schulz, Ben Liblit: Lessons learned at 208K: towards debugging millions of cores. SC 2008: 26
- [c60]Todd Gamblin, Bronis R. de Supinski, Martin Schulz, Robert J. Fowler, Daniel A. Reed: Scalable load-balance measurement for SPMD codes. SC 2008: 46
- 2007
- [j8]Karan Singh, Engin Ipek, Sally A. McKee, Bronis R. de Supinski, Martin Schulz, Rich Caruana: Predicting parallel application performance via machine learning approaches. Concurrency and Computation: Practice and Experience 19(17): 2219-2235 (2007)
- [j7]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. International Journal of Parallel Programming 35(3): 207-232 (2007)
- [c59]Matthew Curtis-Maury, Karan Singh, Sally A. McKee, Filip Blagojevic, Dimitrios S. Nikolopoulos, Bronis R. de Supinski, Martin Schulz: Identifying energy-efficient concurrency levels using machine learning. CLUSTER 2007: 488-495
- [c58]
- [c57]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. IPDPS 2007: 1-10
- [c56]Michael Noeth, Frank Mueller, Martin Schulz, Bronis R. de Supinski: Scalable Compression and Replay of Communication Traces in Massively P arallel E nvironments. IPDPS 2007: 1-11
- [c55]Gregory L. Lee, Dong H. Ahn, Dorian C. Arnold, Bronis R. de Supinski, Barton P. Miller, Martin Schulz: Benchmarking the Stack Trace Analysis Tool for BlueGene/L. PARCO 2007: 621-628
- [c54]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. PPOPP 2007: 249-258
- [c53]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. PVM/MPI 2007: 354-355
- [c52]Martin Schulz, Bronis R. de Supinski: PNMPI tools: a whole lot greater than the sum of their parts. SC 2007: 30
- [c51]Barry Rountree, David K. Lowenthal, Shelby Funk, Vincent W. Freeh, Bronis R. de Supinski, Martin Schulz: Bounding energy consumption in large-scale MPI programs. SC 2007: 49
- 2006
- [c50]Engin Ipek, Sally A. McKee, Rich Caruana, Bronis R. de Supinski, Martin Schulz: Efficiently exploring architectural design spaces via predictive modeling. ASPLOS 2006: 195-206
- [c49]Martin Schulz, Dieter Kranzlmüller, Bronis R. de Supinski: Exploring Unexpected Behavior in MPI. HPCC 2006: 843-852
- [c48]Martin Schulz, Bronis R. de Supinski: A Flexible and Dynamic Infrastructure for MPI Tool Interoperability. ICPP 2006: 193-202
- [c47]Engin Ipek, José F. Martínez, Bronis R. de Supinski, Sally A. McKee, Martin Schulz: Dynamic program phase detection in distributed shared-memory multiprocessors. IPDPS 2006
- [c46]Richard W. Vuduc, Martin Schulz, Daniel J. Quinlan, Bronis R. de Supinski, Andreas Sæbjørnsen: Improving distributed memory applications testing by message perturbation. PADTAD 2006: 27-36
- [c45]Carsten Trinitis, Martin Schulz: 5th International Special Session on Current Trends in Numerical Simulation for Parallel Engineering Environments. PVM/MPI 2006: 356-357
- [c44]François Gygi, Erik W. Draeger, Martin Schulz, Bronis R. de Supinski, John A. Gunnels, Vernon Austel, James C. 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. SC 2006: 45
- [c43]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. SC 2006: 144
- [c42]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. SC 2006: 176
- 2005
- [j6]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. Future Generation Comp. Syst. 21(8): 1298-1311 (2005)
- [j5]Jie Tao, Martin Schulz, Wolfgang Karl: Simulation as a tool for optimizing memory accesses on NUMA machines. Perform. Eval. 60(1-4): 31-50 (2005)
- [j4]Martin Schulz, Dong H. Ahn, Andrew Bernat, Bronis R. de Supinski, Steven Y. Ko, Gregory L. Lee, Barry Rountree: Scalable dynamic binary instrumentation for Blue Gene/L. SIGARCH Computer Architecture News 33(5): 9-14 (2005)
- [c41]Martin Schulz, Brian S. White, Sally A. McKee, Hsien-Hsin S. Lee, Jürgen Jeitner: Owl: next generation system monitoring. Conf. Computing Frontiers 2005: 116-124
- [c40]Engin Ipek, Bronis R. de Supinski, Martin Schulz, Sally A. McKee: An Approach to Performance Prediction for Parallel Applications. Euro-Par 2005: 196-205
- [c39]Martin Schulz, John May, John C. Gyllenhaal: DynTG: A Tool for Interactive, Dynamic Instrumentation. International Conference on Computational Science (2) 2005: 140-148
- [c38]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. ICS 2005: 341-350
- [c37]Martin Schulz, Carsten Trinitis: 4th International Special Session on: Current Trends in Numerical Simulation for Parallel Engineering Environments ParSim 2005. PVM/MPI 2005: 502-503
- 2004
- [c36]Peter K. Szwed, Daniel Marques, Robert M. Buels, Sally A. McKee, Martin Schulz: SimSnap: Fast-Forwarding via Native Execution and Application-Level Checkpointing. Interaction between Compilers and Computer Architectures 2004: 65-74
- [c35]Greg Bronevetsky, Daniel Marques, Keshav Pingali, Peter K. Szwed, Martin Schulz: Application-level checkpointing for shared memory programs. ASPLOS 2004: 235-247
- [c34]Carsten Trinitis, Martin Schulz: Current Trends in Numerical Simulation for Parallel Engineering Environments. ParSim 2004. PVM/MPI 2004: 415-416
- [c33]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. SC 2004: 38
- [c32]Jie Tao, Martin Schulz, Wolfgang Karl: SIMT/OMP: A Toolset to Study and Exploit Memory Locality of OpenMP Applications on NUMA Architectures. WOMPAT 2004: 41-52
- 2003
- [j3]Martin Schulz, Jie Tao, Carsten Trinitis, Wolfgang Karl: SMiLE: an integrated, multi-paradigm software infrastructure for SCI-basedclusters. Future Generation Comp. Syst. 19(4): 521-532 (2003)
- [j2]Jie Tao, Martin Schulz, Wolfgang Karl: ARS: an adaptive runtime system for locality optimization. Future Generation Comp. Syst. 19(5): 761-776 (2003)
- [c31]Jie Tao, Martin Schulz, Wolfgang Karl: A Simulation Tool for Evaluating Shared Memory Systems. Annual Simulation Symposium 2003: 335-342
- [c30]Ed Wheelhouse, Carsten Trinitis, Martin Schulz: CAD Grid: Corporate-Wide Resource Sharing for Parameter Studies. Euro-Par 2003: 433-440
- [c29]
- [c28]Carsten Trinitis, Martin Schulz: Special Session of EuroPVM/MPI 2003: Current Trends in Numerical Simulation for Parallel Engineering Environments - ParSim 2003. PVM/MPI 2003: 661-662
- [c27]Tushar Mohan, Bronis R. de Supinski, Sally A. McKee, Frank Mueller, Andy Yoo, Martin Schulz: Identifying and Exploiting Spatial Regularity in Data Memory References. SC 2003: 49
- [c26]Tao Mu, Jie Tao, Martin Schulz, Sally A. McKee: Interactive Locality Optimization on NUMA Architectures. SOFTVIS 2003: 133-141, 214
- 2002
- [j1]Jie Tao, Wolfgang Karl, Martin Schulz: Memory access behavior analysis of NUMA-based shared memory programs. Scientific Programming 10(1): 45-53 (2002)
- [c25]Martin Schulz, Jie Tao, Carsten Trinitis, Wolfgang Karl: SMiLE: An Integrated, Multi-Paradigm Software Infrastructure for SCI-Based Clusters. CCGRID 2002: 247-254
- [c24]Martin Schulz: Overcoming the Problems Associated with the Existence of Too Many DSM APIs. CCGRID 2002: 319-324
- [c23]Martin Schulz: Using Semantic Information to Guide Efficient Parallel I/O on Clusters. HPDC 2002: 135-142
- [c22]Jie Tao, Martin Schulz, Wolfgang Karl: Improving Data Locality Using Dynamic Page Migration Based on Memory Access Histograms. International Conference on Computational Science (2) 2002: 933-942
- [c21]Martin Schulz, Jie Tao, Jürgen Jeitner, Wolfgang Karl: A proposal for a new hardware cache monitoring architecture. MSP/ISMM 2002: 76-85
- [c20]Carsten Trinitis, Martin Schulz, Wolfgang Karl: Boosting the Performance of Electromagnetic Simulations on a PC-Cluster. PARELEC 2002: 369-374
- [c19]Michael Gerndt, Andreas Schmidt, Martin Schulz, Roland Wismüller: Performance Analysis for Teraflop Computers: A Distributed Automatic Approach. PDP 2002: 23-30
- [c18]Carsten Trinitis, Martin Schulz: Current Trends in Numerical Simulation for Parallel Engineering Environments. PVM/MPI 2002: 61
- [c17]Carsten Trinitis, Martin Schulz, Wolfgang Karl: A Comprehensive Electric Field Simulation Environment on Top of SCI. PVM/MPI 2002: 114-121
- [c16]Dieter Kranzlmüller, Martin Schulz: Notes on Nondeterminism in Message Passing Programs. PVM/MPI 2002: 357-367
- 2001
- [b1]Martin Schulz: Shared memory programming on NUMA-based clusters using a general and open hybrid hardware, software Approach. Technical University Munich 2001, pp. 1-206
- [c15]Wolfgang Karl, Martin Schulz, Martin Völk, Sibylle Ziegler: Meeting the Computational Demands of Nuclear Medical Imaging Using Commodity Clusters. International Conference on Computational Science (2) 2001: 27-36
- [c14]Jie Tao, Wolfgang Karl, Martin Schulz: Visualizing the Memory Access Behavior of Shared Memory Applications on NUMA Architectures. International Conference on Computational Science (2) 2001: 861-870
- [c13]Carsten Trinitis, Martin Schulz, Michael Eberl, Wolfgang Karl: SCI-Based LINUX PC-Clusters as a Platform for Electromagnetic Field Calculations. PaCT 2001: 510-514
- [c12]Martin Schulz: Parallel Volume Rendering based on Isosurface Extraction using Commodity Clusters. VIIP 2001: 157-162
- 2000
- [c11]
- [c10]Wolfgang Karl, Martin Schulz, Jörg Trinitis: Multilayer Online-Monitoring for Hybrid DSM Systems on Top of PC Clusters with a SMiLE. Computer Performance Evaluation / TOOLS 2000: 294-308
- [c9]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. Euro-Par 2000: 851-860
- [c8]Jie Tao, Wolfgang Karl, Martin Schulz: Using the SMiLE Monitoring Infrastructure to Detect and Lower the Inefficiency of Parallel Applications. HPCN Europe 2000: 270-279
- [c7]Martin Schulz: Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS 2000). IPDPS Workshops 2000: 257-260
1990 – 1999
- 1999
- [c6]Wolfgang Karl, Markus Leberecht, Martin Schulz: Optimizing Data Locality for SCI-Based PC-Clusters with the SmiLE Monitoring Approach. IEEE PACT 1999: 169-176
- [c5]Wolfgang Karl, Markus Leberecht, Martin Schulz: Supporting Shared Memory and Message Passing on Clusters of PCs with a SMiLE. CANPC 1999: 196-210
- [c4]Martin Schulz: SCI-VM: A Flexible Base for Transparent Shared Memory Programming Models on Clusters of PCs. IPPS/SPDP Workshops 1999: 19-33
- [c3]Martin Schulz: True Shared Memory Programming on SCI-Based Clusters. Scalable Coherent Interface 1999: 291-311
- 1998
- [c2]
- 1997
- [c1]Xingbin Zhang, Ali Dasdan, Martin Schulz, Rajesh K. Gupta, Andrew A. Chien: Architectural Adaptation for Application-Specific Locality Optimization. ICCD 1997: 150-156
Coauthor Index
[j18] [j17] [j16] [c112] [c111] [c109] [c108] [c107] [c106] [c105] [c104] [c103] [c102] [c100] [j14] [c96] [c95] [c94] [c91] [c89] [c88] [c87] [j13] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c79] [c78] [j12] [c76] [c75] [c74] [c73] [c71] [j11] [j9] [c70] [c68] [c67] [c66] [c65] [c64] [c63] [c61] [c60] [j8] [j7] [c59] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c44] [c43] [c42] [j4] [c40] [c38] [c27]
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last updated on 2013-06-18 22:43 CEST by the dblp team