Parallel programming with message passing and directives
Computing in Science and Engineering
Nested parallelization with OpenMP
International Journal of Parallel Programming
Nested parallelization of the flow solver TFS using the ParaWise parallelization environment
IWOMP'05/IWOMP'06 Proceedings of the 2005 and 2006 international conference on OpenMP shared memory parallel programming
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SMP Clusters with fat nodes offer an interesting capability for large applications that employ a hybrid parallelization model: to improve load balance, the number of threads can be increased in order to speed-up busy MPI processes or decreased to slow down idle MPI processes, provided these processes reside on the same SMP node. We developed a library which performs this thread adjustment automatically during program execution. Experimental results demonstrate remarkable speed-ups with minimal programming effort.