Exemplos de uso de Parallel computing em Inglês e suas traduções para o Português
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Tested with MATLAB and Simulink R2019b Update 1 and Parallel Computing Toolbox using a vehicle dynamics model.
Parallel computing on GPU for solving systems of algebraic equations resulting from… Power Systems.
Click on the logos to learn more about what each of these Intel® Parallel Computing Centers is doing.
Amdahl's law is often used in parallel computing to predict the theoretical speedup when using multiple processors.
methods that employ parallel computing are essential.
This work describes a technique for generating parametric surfaces meshes using parallel computing, with distributed memory processors.
algorithms, and parallel computing play a major role in CM.
Posted: by admin PyOpenCL you access to the API for parallel computing with Python OpenCL.
Published: August 28, 2009, by admin PyOpenCL you access to the API for parallel computing OpenCL from Python.
especially parallel computing to solve the problem.
finite elements and communication in parallel computing.
The problem can also be sidestepped somewhat by using parallel computing, using for example the Non-Uniform Memory Access(NUMA) architecture-this approach is commonly employed by supercomputers.
can be used to add extra hardware for parallel computing.
The potential speed-up of an algorithm on a parallel computing platform is given by Amdahl's law,
software engineering, and parallel computing.
many-core processor technology have popularized the parallel computing, accelerating program execution
Hardware that is based on parallel computing architecture has recently been gaining increasing popularity in high performance computing. .
the acceleration factor is expected to decrease when implementing parallel computing.
Based on the Finite Element Machine's success in demonstrating Parallel Computing viability,(alongside ILLIAC IV
This center is developing a parallel computing course that focuses on related architecture,