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Lilia Maliar
 
''Assessing gains from parallel computation on a supercomputer''
( 2015, Vol. 35 No.1 )
 
 
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;
JEL:
C6 - Mathematical Methods and Programming: General
 
Manuscript Received : Sep 17 2014 Manuscript Accepted : Mar 11 2015

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