Performance prediction through simulation of a hybrid MPI/OpenMP application
Parallel Computing - OpenMp
Execution model of three parallel languages: OpenMP, UPC and CAF
Scientific Programming - International Symposium of Parallel and Distributed Computing & International Workshop on Algorithms, Models and Tools for Parallel Computing on Heterogenous Networks
High Performance Computing for Computational Science - VECPAR 2008
Journal of Parallel and Distributed Computing
EPEW'07 Proceedings of the 4th European performance engineering conference on Formal methods and stochastic models for performance evaluation
High-order finite-element seismic wave propagation modeling with MPI on a large GPU cluster
Journal of Computational Physics
A path to achieving a self-managed Grid middleware
Future Generation Computer Systems
Implementation and usage of the PERUSE-Interface in open MPI
EuroPVM/MPI'06 Proceedings of the 13th European PVM/MPI User's Group conference on Recent advances in parallel virtual machine and message passing interface
WOMPAT'04 Proceedings of the 5th international conference on OpenMP Applications and Tools: shared Memory Parallel Programming with OpenMP
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In this paper we describe how to apply powerful performance analysis techniques to understand the behavior of multilevel parallel applications. We use the Paraver/OMPItrace performance analysis system for our study. This system consists of two major components: The OMPItrace dynamic instrumentation mechanism, which allows the tracing of processes and threads and the Paraver graphical user interface for inspection and analyses of the generated traces. We apply the system to conduct a detailed comparative study of a benchmark code implemented in five different programming paradigms applicable for sharedmemory computer architectures