Cu2cl: a Cuda-To-Opencl Translator for Multi- and Many-Core Architectures

The use of graphics processing units (GPUs) in high-performance parallel computing continues to steadily become more prevalent, often as part of a heterogeneous system. For years, CUDA has been the de facto programming environment for nearly all general-purpose GPU (GPGPU) applications. In spite of...

Full description

Bibliographic Details
Main Author: Martinez Arroyo, Gabriel Ernesto
Other Authors: Computer Science and Applications
Format: Others
Published: Virginia Tech 2014
Subjects:
GPU
Online Access:http://hdl.handle.net/10919/34233
http://scholar.lib.vt.edu/theses/available/etd-07282011-122302/