hiCUDA: High-Level GPGPU Programming

Graphics Processing Units (GPUs) have become a competitive accelerator for applications outside the graphics domain, mainly driven by the improvements in GPU programmability. Although the Compute Unified Device Architecture (CUDA) is a simple C-like interface for programming NVIDIA GPUs, porting app...

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Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on parallel and distributed systems Jg. 22; H. 1; S. 78 - 90
Hauptverfasser:	Han, Tianyi David, Abdelrahman, Tarek S
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2011 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Application software Architecture Arrays Compilers Computer architecture Computer graphics Computer interfaces Computer networks CUDA data-parallel programming Devices directive-based language Expenses GPGPU Memory management Packaging Pipelines Program processors Programmers Programming Programming profession Prototypes source-to-source compiler Telephone number portability
ISSN:	1045-9219, 1558-2183
Online-Zugang:	Volltext
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