Assessing gains from parallel computation on a supercomputer

Lilia Maliar

Economics Bulletin, 2015, vol. 35, issue 1, 159-167

Abstract: We assess gains from parallel computation on Backlight supercomputer. The information transfers are expensive. We find that to make parallel computation efficient, a task per core must be sufficiently large, ranging from few seconds to one minute depending on the number of cores employed. For small problems, the shared memory programming (OpenMP) and a hybrid of shared and distributive memory programming (OpenMP&MPI) leads to a higher efficiency of parallelization than the distributive memory programming (MPI) alone.

Keywords: Parallel Computation; Information transfers; Speedup; Supercomputers; OpenMP; MPI; Blacklight (search for similar items in EconPapers)
JEL-codes: C0 C6 (search for similar items in EconPapers)
Date: 2015-03-11
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Citations: View citations in EconPapers (1)

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Related works:
Working Paper: Assessing gains from parallel computation on supercomputers (2013)
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