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Volumn , Issue , 2012, Pages 511-519

Algorithmic strategies for optimizing the parallel reduction primitive in CUDA

Author keywords

CUDA; data parallel algorithms; GPGPU; parallel reduction; segmented parallel reduction

Indexed keywords

ALGORITHM PERFORMANCE; ALGORITHMIC OPTIMIZATION; CUDA; DATA PARALLEL; DATA SEQUENCES; EXPERIMENTAL STUDIES; GPGPU; GRAPHICS PROCESSING UNITS; ON CURRENTS; REDUCTION ALGORITHMS; SEQUENTIAL METHODS; SINGLE-VALUE; TREE-BASED; TREE-BASED ALGORITHMS;

EID: 84867024407     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/HPCSim.2012.6266966     Document Type: Conference Paper
Times cited : (29)

References (17)
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  • 5
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    • Tech. Rep. CMUCS-90-190, School of Computer Science, Carnegie Mellon University
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    • (1993) Prefix Sums and Their Applications
    • Blelloch, G.E.1
  • 9
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    • DOI: 10.1111/j.1467-8659.2006.00969.x.
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    • (2006) Computer Graphics Forum , vol.25 , pp. 497-506
    • Gress, A.1    Guthe, M.2    Klein, R.3
  • 11
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    • Stream reduction operations for GPGPU applications
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  • 17
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    • Real-time kd-tree construction on graphics hardware
    • ACM, DOI=10.1145/1457515.1409079.
    • K. Zhou, Q. Hou, R. Wang and B. Guo, "Real-time kd-tree construction on graphics hardware," Proc. ACM SIGGRAPH Asia 2008, ACM, 2008, pp. 1-11, DOI=10.1145/1457515.1409079.
    • (2008) Proc. ACM SIGGRAPH Asia 2008 , pp. 1-11
    • Zhou, K.1    Hou, Q.2    Wang, R.3    Guo, B.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.