메뉴 건너뛰기




Volumn 5101 LNCS, Issue PART 1, 2008, Pages 466-475

Performance evaluation of the NVIDIA GeForce 8800 GTX GPU for machine learning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; MATRIX ALGEBRA; ROBOT LEARNING; VECTORS;

EID: 47749154455     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69384-0_52     Document Type: Conference Paper
Times cited : (7)

References (11)
  • 4
    • 47749122457 scopus 로고    scopus 로고
    • NVIDIA:, GPU Architecture Overview
    • NVIDIA: NVIDIA GeForce 8800 GPU Architecture Overview (2006)
    • (2006) NVIDIA GeForce , pp. 8800
  • 6
    • 0242533311 scopus 로고    scopus 로고
    • Sparse matrix solvers on the gpu: Conjugate gradients and multigrid
    • Bolz, J., Farmer, I., Grinspun, E., Schröoder, P.: Sparse matrix solvers on the gpu: conjugate gradients and multigrid. ACM Trans. Graph. 22(3), 917-924 (2003)
    • (2003) ACM Trans. Graph , vol.22 , Issue.3 , pp. 917-924
    • Bolz, J.1    Farmer, I.2    Grinspun, E.3    Schröoder, P.4
  • 8
    • 77954024744 scopus 로고    scopus 로고
    • Linear algebra operators for gpu implementation of numerical algorithms
    • Papers, pp, ACM, New York
    • Krüger, J., Westermann, R.: Linear algebra operators for gpu implementation of numerical algorithms. In: SIGGRAPH 2003: ACM SIGGRAPH 2003 Papers, pp. 908-916. ACM, New York (2003)
    • (2003) SIGGRAPH 2003: ACM SIGGRAPH , pp. 908-916
    • Krüger, J.1    Westermann, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.