OpenMP shared memory parallel programming : International Workshop on OpenMP Applications and Tools, WOMPAT 2001, West Lafayette, IN, USA, July 30 31, 2001 : proceedings
This book contains the presentations given at the Workshop on OpenMP App- cations and Tools, WOMPAT 2001. The workshop was held on July 30 and 31, 2001 at Purdue University, West Lafayette, Indiana, USA. It brought together designers, users, and researchers of the OpenMP application programming int-...
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| Formaat: | Livre numérique |
| Taal: | Anglais |
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Berlin [etc.] :
Springer
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Cham : Springer Nature |
| Reeks: | Lecture notes in computer science
2104 |
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| Edition sous un autre format: | • OpenMP shared memory parallel programming, International Workshop on OpenMP Applications and Tools, WOMPAT 2001, West Lafayette, IN, USA, July 30-31, 2001, proceedings, Rudolf Eigenmann, Michael J. Voss (eds.), 2001, Berlin, Springer, 1 vol. (X-184 p.), Lecture notes in computer science, 3-540-42346-X • OpenMP Shared Memory Parallel Programming, Texte imprimé, 9783662212554 |
Inhoudsopgave:
- Benchmarking
- SPEComp: A New Benchmark Suite for Measuring Parallel Computer Performance
- Compiler Implementation and Optimization
- Portable Compilers for OpenMP
- The Omni OpenMP Compiler on the Distributed Shared Memory of Cenju-4
- Some Simple OpenMP Optimization Techniques
- Tools and Tool Technology
- An Integrated Performance Visualizer for MPI/OpenMP Programs
- A Dynamic Tracing Mechanism for Performance Analysis of OpenMP Applications
- A Comparison of Scalable Labeling Schemes for Detecting Races in OpenMP Programs
- Debugging OpenMP Programs Using Event Manipulation
- OpenMP Experience
- The Application of POSIX Threads and OpenMP to the U.S. NRC Neutron Kinetics Code PARCS
- Integrating OpenMP into Janus
- NUMA Machines and Clusters
- A Study of Implicit Data Distribution Methods for OpenMP Using the SPEC Benchmarks
- OmniRPC: A Grid RPC Facility for Cluster and Global Computing in OpenMP
- OpenMP Extensions
- Performance Oriented Programming for NUMA Architechtures
- Defining and Supporting Pipelined Executions in OpenMP
- CableS : Thread Control and Memory System Extensions for Shared Virtual Memory Clusters.