Joint forces: From multithreaded programming to GPU computing

IEEE Software

Volumn 28, Issue 1, 2011, Pages 51-57

  Feinbube, Frank ^a   Tröger, Peter ^a   Polze, Andreas ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

Author keywords

Graphics processors; Optimization; Parallel processors; SIMD processors

Indexed keywords

DESKTOP SOFTWARE; GPU COMPUTING; GRAPHICS CARD; GRAPHICS HARDWARE; GRAPHICS PROCESSING UNIT; GRAPHICS PROCESSOR; HETEROGENEOUS COMPUTING; JOINT FORCES; KEY FACTORS; MOVING PARTS; MULTITHREADED; MULTITHREADED PROGRAMMING; PARALLEL COMPUTING; PARALLEL PROCESSOR; PERFORMANCE IMPROVEMENTS; PERFORMANCE OPTIMIZATIONS; PROGRAMMING PRINCIPLES; SIMD PROCESSORS;

OPTIMIZATION; PARALLEL ARCHITECTURES; PROGRAM PROCESSORS;

COMPUTER GRAPHICS EQUIPMENT;

EID: 78650646788     PISSN: 07407459     EISSN: None     Source Type: Journal    
DOI: 10.1109/MS.2010.134     Document Type: Article

References (6)

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4. S.-Z. Ueng et al., "CUDA-Lite: Reducing GPU Programming Complexity," Proc. 21th Int'l Workshop Languages and Compilers for Parallel Computing (LCPC 08), LNCS 5335, Springer, 2008, pp. 1-15.
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6. Nvidia, Nvidia OpenCL Best Practices Guide, Version 2.3, Aug. 2009; www.nvidia.com/ object/cuda-opencl-new.html.