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Volumn 26, Issue 4, 2011, Pages 313-329

Performance impact on resource sharing among multiple CPU- and GPU-based applications

Author keywords

caravela; CUDA; graphics processing unit; memory bandwidth; multicore architecture; task scheduling

Indexed keywords

CARAVELA; CUDA; GRAPHICS PROCESSING UNIT; MEMORY BANDWIDTHS; MULTICORE ARCHITECTURES; TASK-SCHEDULING;

EID: 79960501920     PISSN: 17445760     EISSN: 17445779     Source Type: Journal    
DOI: 10.1080/17445760.2010.481788     Document Type: Conference Paper
Times cited : (2)

References (13)
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    • S. Yamagiwa, L. Sousa, and D. Antao, Data Buffering Optimization Methods Toward a Uniform Programming Interface for GPU-based Applications, Proceedings of the 4th International Conference on Computing frontiers,ACM Press, Ischia, Italy, 2007, pp. 205-212. (Pubitemid 47582225)
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    • Yamagiwa, S.1    Sousa, L.2    Antao, D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.