메뉴 건너뛰기




Volumn 19, Issue 2, 2010, Pages 419-438

Understanding GPU programming for statistical computation: Studies in massively parallel massive mixtures

Author keywords

Bayesian computation; Desktop parallel computing; Flow cytometry; Graphics processing unit programming; Large datasets; Mixture models

Indexed keywords


EID: 77955516707     PISSN: 10618600     EISSN: None     Source Type: Journal    
DOI: 10.1198/jcgs.2010.10016     Document Type: Article
Times cited : (152)

References (26)
  • 1
    • 85060036181 scopus 로고
    • Validity of the single processor approach to achieving large-scale computing capabilities
    • [422]
    • Amdahl, G. (1967), "Validity of the Single Processor Approach to Achieving Large-Scale Computing Capabilities," AFIPS Conference Proceedings, 30, 483-485. [422]
    • (1967) AFIPS Conference Proceedings , vol.30 , pp. 483-485
    • Amdahl, G.1
  • 2
    • 42949083636 scopus 로고    scopus 로고
    • Mixture modeling approach to flow cytometry data
    • [421]
    • Boedigheimer, M. J., and Ferbas, J. (2008), "Mixture Modeling Approach to Flow Cytometry Data," Cytometry A, 73 (5), 421-429. [421]
    • (2008) Cytometry A , vol.73 , Issue.5 , pp. 421-429
    • Boedigheimer, M.J.1    Ferbas, J.2
  • 3
    • 48849105886 scopus 로고    scopus 로고
    • Statistical mixture modeling for cell subtype identification in flow cytometry
    • [421]
    • Chan, C, Feng, F, West, M., and Kepler, T. (2008), "Statistical Mixture Modeling for Cell Subtype Identification in Flow Cytometry," Cytometry A, 73, 693-701. [421]
    • (2008) Cytometry A , vol.73 , pp. 693-701
    • Chan, C.1    Feng, F.2    West, M.3    Kepler, T.4
  • 5
  • 6
    • 0024012163 scopus 로고
    • Reevaluating amdahl's law
    • [422]
    • Gustafson, J. L. (1988), "Reevaluating Amdahl's Law," Communications of the ACM, 31, 532-533. [422]
    • (1988) Communications of the ACM , vol.31 , pp. 532-533
    • Gustafson, J.L.1
  • 7
    • 77956682746 scopus 로고    scopus 로고
    • Optimizing Parallel Reduction in CUDA
    • [Accessed on 1/25/2010.] [432]
    • Harris, M. (2008), "Optimizing Parallel Reduction in CUDA," available at http://developer.download.nvidia.com/ compute/cuda/sdk/website/ projects/reduction/doc/reduction.pdf. [Accessed on 1/25/2010.] [432]
    • (2008) Compute/cuda/sdk/website/projects/reduction/doc/reduction.pdf
    • Harris, M.1
  • 9
    • 77956704941 scopus 로고    scopus 로고
    • Keynote address
    • Stanford, CA: IEEE Technical Committee on Microprocessors and Microcomputers [435]
    • Huang, J. (2009), "Keynote Address," in Hot Chips: A Symposium on High Performance Chips 21, Stanford, CA: IEEE Technical Committee on Microprocessors and Microcomputers. Available at http://blogs.nvidia.com/ ntersect/2009/08/hot-chips-2009-keynote-by-jen-hsun-huang.html. [435]
    • (2009) Hot Chips: A Symposium on High Performance Chips 21
    • Huang, J.1
  • 11
    • 77956703391 scopus 로고    scopus 로고
    • Spatial mixture modelling for unobserved point processes: Application to immunofluorescence histology
    • [422]
    • Ji, C, Merl, D., Kepler, T., and West, M. (2009), "Spatial Mixture Modelling for Unobserved Point Processes: Application to Immunofluorescence Histology," Bayesian Analysis, 4, 297-316. [422]
    • (2009) Bayesian Analysis , vol.4 , pp. 297-316
    • Ji, C.1    Merl, D.2    Kepler, T.3    West, M.4
  • 14
    • 42049123647 scopus 로고    scopus 로고
    • Automated gating of flow cytometry data via robust model-based clustering
    • [421]
    • Lo, K., Brinkman, R. R., and Gottardo, R. (2008), "Automated Gating of Flow Cytometry Data via Robust Model-Based Clustering," Cytometry A, 73 (4), 321-332. [421]
    • (2008) Cytometry A , vol.73 , Issue.4 , pp. 321-332
    • Lo, K.1    Brinkman, R.R.2    Gottardo, R.3
  • 15
    • 1842545720 scopus 로고    scopus 로고
    • Computational methods for mixture of dirichlet process models
    • eds. D. Dey, P. Müller, and D. Sinha, New York: Springer-Verlag [422]
    • MacEachern, S., and Müller, P. (1998a), "Computational Methods for Mixture of Dirichlet Process Models," in Practical Nonparametric and Semiparametric Bayesian Statistics, eds. D. Dey, P. Müller, and D. Sinha, New York: Springer-Verlag, pp. 23-44. [422]
    • (1998) Practical Nonparametric and Semiparametric Bayesian Statistics , pp. 23-44
    • MacEachern, S.1    Müller, P.2
  • 16
    • 0032221058 scopus 로고    scopus 로고
    • Estimating mixture of dirichlet process models
    • [422]
    • - (1998b), "Estimating Mixture of Dirichlet Process Models," Journal of Computational and Graphical Statistics, 7, 223-238. [422]
    • (1998) Journal of Computational and Graphical Statistics , vol.7 , pp. 223-238
  • 17
    • 43349092363 scopus 로고    scopus 로고
    • CUDA compatible gpu cards as efficient hardware accelerators for smith-waterman sequence alignment
    • [420]
    • Manavski, S. A., and Valle, G. (2008), "CUDA Compatible GPU Cards as Efficient Hardware Accelerators for Smith-Waterman Sequence Alignment," BMC Bioinformatics, 9, S10. [420]
    • (2008) BMC Bioinformatics , vol.9
    • Manavski, S.A.1    Valle, G.2
  • 18
    • 77956673064 scopus 로고    scopus 로고
    • NVIDIA-CUBLAS [432]
    • NVIDIA-CUBLAS, 2008, "NVIDIA CUDA CUBLAS Library 2.0," available at http://developer.download.nvidia.com/compute/cuda/2-0/docs/CUBLAS- Library-2.0.pdf [432]
    • (2008) NVIDIA CUDA CUBLAS Library 2.0
  • 25
    • 65649118549 scopus 로고    scopus 로고
    • Many-core algorithms for statistical phylogenetics
    • [420]
    • - (2009b), "Many-Core Algorithms for Statistical Phylogenetics," Bioinformatics, 25, 1370-1376. [420]
    • (2009) Bioinformatics , vol.25 , pp. 1370-1376


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.