Consider processors numbered as (1, 2, ldots, p).
The results show that with the increase of processor number, the distributed ICA can significantly shorten the simulation time.
In this context, the influence of increasing the processor number, up to 36, on calculation efficiency was investigated.
Hyper-systolic algorithms reduce the communication complexity from O Np), with p the processor number, to O Np), at the expense of increased memory demands.
The general parallelism used in this implementation is as follows: The lead processor distributes the stdin file to all processors The lead processor distributes the input file to all processors Each processor advances the input file pointer to a chunk of unique bootstrapped data based on the MPI processor number and the total number of bootstrapped datasets.
An array r of size k (number of strings) is used where r[ i] is the processor number which is going to handle string i.
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Hence, the influence of increasing the processor numbers (up to 36) on the calculation efficiency of the extended CFD/DEM model will be analysed.
Our Multi-BSP model is a multi-level model that has explicit parameters for processor numbers, memory/cache sizes, communication costs, and synchronization costs.
