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Volumn , Issue , 2014, Pages 16-17

Big data machine learning and graph analytics: Current state and future challenges

Author keywords

Big Data; Graphics Processing Unit; Hardware and Software Co Design; Lambda Architecture; Non Volatile Memory; Solid State Drive

Indexed keywords

BIG DATA; COMPUTER GRAPHICS; COMPUTER GRAPHICS EQUIPMENT; DIGITAL STORAGE; LEARNING SYSTEMS; PROGRAM PROCESSORS;

EID: 84921787304     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2014.7004471     Document Type: Conference Paper
Times cited : (27)

References (32)
  • 16
    • 85172643250 scopus 로고    scopus 로고
    • Integrating and governing big data
    • David Corrigan. Integrating and governing big data. IBM Whitepaper 2013.
    • (2013) IBM Whitepaper
    • Corrigan, D.1
  • 17
    • 37549003336 scopus 로고    scopus 로고
    • Mapreduce: Simplified data processing on large clusters
    • Jeffrey Dean and Sanjay Ghemawat. Mapreduce: simplified data processing on large clusters. Communications of the ACM, 2008 51(1):107-113.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 19
    • 85048106114 scopus 로고    scopus 로고
    • Nathan Marz. Lambda architecture. http://nathanmarz.com/blog/ how-to-beat-The-cap-theorem.html, 2013.
    • (2013) Lambda Architecture
    • Marz, N.1
  • 29
    • 84900414256 scopus 로고    scopus 로고
    • Fast acceleration of 2d wave propagation simulations using modern computational accelerators
    • Wei Wang, Lifan Xu, John Cavazos, H Howie Huang, and Matthew Kay. Fast acceleration of 2d wave propagation simulations using modern computational accelerators. Journal of PloS one, 2014.
    • (2014) Journal of PloS One
    • Wang, W.1    Xu, L.2    Cavazos, J.3    Huang, H.H.4    Kay, M.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.