Paper Title :An Automated Tool For Converting Directive Based C Code Into Parallel Cuda Code
Author :Batliwala Saifuddin, Kadtan Lalit, Khan Mujjammil, Khandagale Pratik, S. M. Walunj
Article Citation :Batliwala Saifuddin ,Kadtan Lalit ,Khan Mujjammil ,Khandagale Pratik ,S. M. Walunj ,
(2014 ) " An Automated Tool For Converting Directive Based C Code Into Parallel Cuda Code " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 55-58,
Volume-2,Issue-7
Abstract : Parallel programming has become simple and reasonable with the preamble of GPGPUs. Now a day’s many
programmers transfer their application to GPGPUs with the accessibility of APIs such as NVIDIA’s CUDA. But it is very
tricky task to write CUDA program. Most of the industry extensively uses the immense serial C code, and they are unable to
take any advantages of this additional computing power available. Some tools, allow programmers to add “hints” to their
sequential programs, while another approach has been to build an interactive system between parallelizing tools/compilers
and programmers. But none of these are really automatic tools, because programmer is fully involved in the process. We
present an automatic parallelization tool with modest involvement of the programmer in the process of parallelization. This
tool will provide better graphical user interface with higher flexibility. The process followed in this tool will produce better
quality result.
Type : Research paper
Published : Volume-2,Issue-7
DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-985
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Copyright: © Institute of Research and Journals
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Published on 2014-07-01 |
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