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Programming in CUDA for Kepler and Maxwell Architecture

Esteban G. W. Clua, Marcelo Zamith
Instituto de Computacao, Universidade Federal Fluminense, Niteroi – RJ, Brazil
Revista de Informatica Teorica e Aplicada (RITA), Volume 22, Numero 2, 2015

@article{clua2015programming,

   title={Programming in CUDA for Kepler and Maxwell Architecture},

   author={Clua, Esteban Walter Gonzalez and Zamith, Marcelo Panaro},

   journal={Revista de Inform{‘a}tica Te{‘o}rica e Aplicada},

   volume={22},

   number={2},

   pages={233–257},

   year={2015}

}

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Since the first version of CUDA was launch, many improvements were made in GPU computing. Every new CUDA version included important novel features, turning this architecture more and more closely related to a typical parallel High Performance Language. This tutorial will present the GPU architecture and CUDA principles, trying to conceptualize novel features included by NVIDIA, such as dynamics parallelism, unified memory and concurrent kernels. This text also includes some optimization remarks for CUDA programs.
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