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In the Reduce step the master process collects the results and combines them in some way to provide the answer to the problem it was originally trying to solve.
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The benchmark tool has three components: a set of N consumer processes that are responsible for inducing the memory thrashing, a measurement process that collects performance data, and a master process that manages the other processes.
Another issue that affects applicability is that the decision model requires collecting and estimating input data regarding process contexts, process variants, and the master process as well as regarding the effects of BPS on the performance dimensions time, cost, quality, and flexibility.
In the same interview, we also collected the data required to challenge the basic scenario by trying two other process variants as master process (Sect. 5.4.2).
Subroutine MPI_Reduction collects data from all processors, reduces the data to a single value (e.g., by summation), and then stores the results on the master process (and on all processes as well).
We retain the master-slaves processing model in the extended framework; the first available core runs the master process and all other cores run slave processes.
Using process variant 4 as master process has similar time and quality effects as the original master process.
Second, we challenged the pre-selected master process.
Moreover, process variants must be split into context-specific process variants and a standardized master process. .
It also splits process variants into context-specific process variants and a standardized master process.
Moreover, process variants must be split into context-specific process variants and a standardized master process.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com