CUDA Fortran for Scientists and Engineers

Preface

This document is intended for scientists and engineers who develop or maintain computer simulations and applications in Fortran and who would like to harness the parallel processing power of graphics processing units (GPUs) to accelerate their code. The goal here is to provide the reader with the fundamentals of GPU programming using CUDA Fortran as well as some typical examples, without having the task of developing CUDA Fortran code become an end in itself.

The CUDA architecture was developed by NVIDIA to allow use of the GPU for general-purpose computing without requiring the programmer to have a background in graphics. There are many ways to access the CUDA architecture from a programmer’s perspective, including through C/C++ from ...