DocumentCode
1838676
Title
CPU-GPU hybrid compiling for general purpose: Case studies
Author
Rak, A. ; Feldhoffer, G. ; Soos, B.G. ; Cserey, G.
Author_Institution
Fac. of Inf. Technol., Pazmany Peter Catholic Univ., Budapest, Hungary
fYear
2010
fDate
3-5 Feb. 2010
Firstpage
1
Lastpage
1
Abstract
In this demonstration, a new approach to GPU utilization has been demonstrated. The compilation of the standard C or C++ source code with our GCC based compiler results hybrid executable which uses GPU as well. Host CPU code is generated automatically. Case studies are presented.
Keywords
C++ language; computer graphic equipment; coprocessors; program compilers; C source code; C++ source code; CPU-GPU hybrid compiling; GCC based compiler; GPU utilization; general purpose computers; graphics processing unit; host CPU code; Automation; Cellular networks; Code standards; Computer languages; IEC standards; ISO standards; Information technology; Kernel; Programming profession; Standards development;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Nanoscale Networks and Their Applications (CNNA), 2010 12th International Workshop on
Conference_Location
Berkeley, CA
Print_ISBN
978-1-4244-6679-5
Type
conf
DOI
10.1109/CNNA.2010.5430340
Filename
5430340
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