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 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 this, the...

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Bibliographic Details

Published in:	2011 IEEE 17th International Conference on Parallel and Distributed Systems pp. 300 - 307
Main Authors:	Martinez, G., Gardner, M., Wu-chun Feng
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.12.2011
Subjects:	abstract syntax tree Clang compiler CUDA Graphics processing unit Instruction sets Kernel Libraries Memory management OpenCL Programming Runtime source-to-source translation
ISBN:	1457718758, 9781457718755
ISSN:	1521-9097
Online Access:	Get full text
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