Examples of using Parallelization in English and their translations into Portuguese
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This work presents parallelization techniques applied to problems in electromagnetics by meshless methods.
This monograph proposes a parallelization of the algorithm sivia in opencl so it can be run on heterogeneous platforms.
The parallelization model was developed for machines with distributed memory,
This work was performed parallelization of gate/geant4, studied the behavior of clusters,
The Opportunities for parallelization of the algorithm is not worse the opportunities of the classic algorithm that you have already described.
Parallelization was performed on the portion of code identified as the most computationally expensive one,
demanding high computational power and use of parallelization techniques.
Therefore, high performance computing has emerged as one of the features being used, through the parallelization of many strategies for execution in large computational systems.
In that sense, mapreduce techniques and their implementation have returned results timely with parallelization of data mining algorithms and could apply for big data sets.
by improving development tasks parallelization.
Every calculation is scalable to large dimension arrays using parallelization across CPUs and GPUs.
now dated mathematical solver algorithms, developed when there were no technologies such as CUDA and therefore not designed to take advantage of these parallelization technology enhancements.
This thesis proposes a way to make a parallelization on a gpu of a serial algorithm of which is a image restoration of images from atomic force microscopy using tikhonov regularization.
decisions such as the computing parallel model will be employed, which parallelization techniques can be experienced,
The results obtained in this research show that the effects of these combinations between classes of algorithms and parallelization libraries have different values,
We applied parallelization techniques to improve computational performance,
And by applying programming technics such as parallelization of operations and also utilizing efficient decoders of ldpc codes it¿s possible to achieve really good results
This work proposes parallelizations of two video summarization methods.
A possible solution to this problem is the parallelization of these methods through the partitioning of the domain on subdomains fewer unknowns.
The parallelization of matrix operations in gpu is explained,