Programming in CUDA for Kepler and Maxwell Architecture
AbstractSince 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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How to Cite
Gonzalez Clua, E. W., & Zamith, M. P. (2015). Programming in CUDA for Kepler and Maxwell Architecture. Revista De Informática Teórica E Aplicada, 22(2), 233–257. https://doi.org/10.22456/2175-2745.56384
Tutoriais SIBGRAPI 2015