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Experimental results on multiple datasets showed an average speedup of 8.1× compared to serial implementations.
These implementations are found to be straightforward and highly efficient compared to serial implementations.
As a first step to insure fast performance, we study several possible serial implementations of the CA. The simulations are performed in three infrastructures, comparing two different microarchitectures.
Cellular Automata (CA) are of interest in several research areas and there are many available serial implementations of CA. However, there are relatively few studies analyzing in detail High Performance Computing (HPC) implementations of CA which allow research on large systems.
Experimental results show that our proposed implementation on a tightly coupled heterogeneous processor outperforms all other alternatives including traditional discrete GPU, quad-core CPU using OpenMP, and serial implementations by 67%, 50%, and 154% respectively even though the embedded GPU in the heterogeneous processor has significantly less number of cores than high-end discrete GPU.
In this paper, we introduced an implementation of perfusion-imaging analysis which provides considerable speed improvement and equivalent quality of results compared with current serial implementations.
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Fig. 4 Speedup over the serial implementation.
They achieved a remarkable speedup of 12 times over the serial implementation.
The authors achieved 33% reduction time over the serial implementation by using four threads.
Several techniques to optimize the serial implementation of the DSMC method are first discussed.
The model was derived from our CPU serial implementation, named GAME (Genetic Algorithm Model Experiment).
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CEO of Professional Science Editing for Scientists @ prosciediting.com