• DocumentCode
    3612792
  • Title

    Energy-Efficient Abundant-Data Computing: The N3XT 1,000x

  • Author

    Sabry Aly, Mohamed M. ; Mingyu Gao ; Hills, Gage ; Chi-Shuen Lee ; Pitner, Greg ; Shulaker, Max M. ; Wu, Tony F. ; Asheghi, Mehdi ; Bokor, Jeff ; Franchetti, Franz ; Goodson, Kenneth E. ; Kozyrakis, Christos ; Markov, Igor ; Olukotun, Kunle ; Pileggi, Lar

  • Author_Institution
    Stanford Univ., Stanford, CA, USA
  • Volume
    48
  • Issue
    12
  • fYear
    2015
  • Firstpage
    24
  • Lastpage
    33
  • Abstract
    Next-generation information technologies will process unprecedented amounts of loosely structured data that overwhelm existing computing systems. N3XT improves the energy efficiency of abundant-data applications 1,000-fold by using new logic and memory technologies, 3D integration with fine-grained connectivity, and new architectures for computation immersed in memory.
  • Keywords
    data integration; energy consumption; storage management; 3D integration; N3XT; Next-generation information technologies; abundant-data applications; energy-efficient abundant-data computing; fine-grained connectivity; logic technologies; loosely structured data process; memory technologies; CNTFETs; Energy efficiency; Logic gates; Memory management; Random access memory; Three-dimensional displays; big data; emerging technologies; green computing; hardware; high-performance computing; integration and modeling; nanotechnology; systems architectures;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2015.376
  • Filename
    7368008