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Volumn 23, Issue 18, 2011, Pages 2452-2462

Parallel terrain visibility calculation on the graphics processing unit

Author keywords

CUDA; digital terrain model; graphics processing unit; parallelization; visibility analysis

Indexed keywords

COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; LANDFORMS; PROGRAM PROCESSORS; VISIBILITY;

EID: 81155155537     PISSN: 15320626     EISSN: 15320634     Source Type: Journal    
DOI: 10.1002/cpe.1808     Document Type: Article
Times cited : (18)

References (18)
  • 1
    • 0037946665 scopus 로고
    • Terrain visibility
    • Nagy G,. Terrain visibility. Computers & Graphics 1994; 18 (6): 763-773.
    • (1994) Computers & Graphics , vol.18 , Issue.6 , pp. 763-773
    • Nagy, G.1
  • 5
    • 0030197117 scopus 로고    scopus 로고
    • Visibility analysis on a massively data-parallel computer
    • Germain D, Laurendeau D, et al,. Visibility analysis on a massively data-parallel computer. Concurrency: Practice and Experience 1996; 8 (6): 475-487. (Pubitemid 126662860)
    • (1996) Concurrency Practice and Experience , vol.8 , Issue.6 , pp. 475-487
    • Germain, D.1    Laurendeau, D.2    Vezina, G.3
  • 15
    • 36049035884 scopus 로고    scopus 로고
    • Parallel Prefix Sum (Scan) with CUDA
    • Nguyen H. (ed.). Addison Wesley: Upper Saddle River, NJ, USA
    • Harris M, Sengupta S, et al,. Parallel Prefix Sum (Scan) with CUDA. In GPU Gems 3, Nguyen H, (ed.). Addison Wesley: Upper Saddle River, NJ, USA, 2007.
    • (2007) GPU Gems 3
    • Harris, M.1    Sengupta, S.2
  • 16
    • 67650661447 scopus 로고    scopus 로고
    • NVIDIA Corporation: Santa Clara, CA, USA, (Available from:) [July 2011]
    • Harris M,. Optimizing Parallel Reduction in CUDA. NVIDIA Corporation: Santa Clara, CA, USA, 2008. (Available from:) [July 2011].
    • (2008) Optimizing Parallel Reduction in CUDA
    • Harris, M.1
  • 18
    • 77954995885 scopus 로고    scopus 로고
    • Debunking the 100x GPU vs. CPU myth: An evaluation of throughput computing on CPU and GPU
    • Lee VW, Kim C, et al,. Debunking the 100x GPU vs. CPU myth: an evaluation of throughput computing on CPU and GPU. ACM SIGARCH Computer Architecture News 2010; 38: 451-460.
    • (2010) ACM SIGARCH Computer Architecture News , vol.38 , pp. 451-460
    • Lee, V.W.1    Kim, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.