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Complexity can be reduced by parallelizing the compression of different objects.
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We minimize the execution time for this by parallelizing the operation using OpenMP.
Hence, there is a need for fast processing which can be obtained by parallelizing the algorithm.
While, low latency is made possible by parallelizing the logic implementation.
Speedups achieved by parallelizing the R code are shown in Figure 1 for four popular methods.
By parallelizing the work, the cost of examining additional data is reduced.
This aspect can be improved in the future by parallelizing the rendering of individual embedded visualizations.
Significant reduction in computing time was achieved by parallelizing the tasks.
We can also speed up the classification part of the algorithm by parallelizing the random forest across multiple computer cores or utilizing a graphics processing unit [ 41].
The multi-GPU parallelization is achieved by parallelizing over the source particles.
A common way to parallelize likelihood computations on shared memory architectures is by parallelizing over the sites of the MSA.
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