Abstract
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.
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Spiegel, A., an Mey, D., Bischof, C. (2006). Hybrid Parallelization of CFD Applications with Dynamic Thread Balancing. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2004. Lecture Notes in Computer Science, vol 3732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558958_51
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DOI: https://doi.org/10.1007/11558958_51
Publisher Name: Springer, Berlin, Heidelberg
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