Implementação paralela e simples do Perceptron Multicamadas utilizando OpenACC destinada para GPUs da NVIDIA
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Updated
Dec 21, 2017 - C
OpenACC is a directive-based parallel programming model for C, C++, and Fortran.
It is most often associated with directive-based programming for GPU computers,
but has also been used for programming multi-core CPUs and FPGAs. OpenACC is
developed and maintained by members of the OpenACC standard organization.
Implementação paralela e simples do Perceptron Multicamadas utilizando OpenACC destinada para GPUs da NVIDIA
Dionysios Diamantopoulos Web Edition
This is my thesis work for the Bachelor's degree in Physics. / Este es mi trabajo de titulación para la Licenciatura en Física.
OpenACC GPU parallelization for various numerical methods and miscellaneous problems using C
Página do Livro Programação Paralela e Distribuída
Implementação paralela e simples do Perceptron Multicamadas utilizando OpenACC destinada para CPU
Parallelizing Matrix multiplication using CUDA C and OpenACC
OpenACC Validation and Verification Testsuite repository
This repository contains few problems solved via parallel programming using openMp, openAcc, MPI and combinations of these methods
Parallel Computations on GPU - Project - N-Body-OpenACC
Numerical solution of the Laplace equation implementing the Jacobi method
This code mimics the basic MPI+OpenACC tasks of PSI's MAS Solar MHD code, for use with testing multi-GPU multi-node clusters
The main purpose of this tutorial is to present similarities and differences between device offload mechanisms available in OpenACC and OpenMP standards.
Released November 2011