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Issue No. 12 - Dec. (2015 vol. 48)
ISSN: 0018-9162
pp: 24-33
Mohamed M. Sabry Aly , Stanford University
Mingyu Gao , Stanford University
Gage Hills , Stanford University
Chi-Shuen Lee , Stanford University
Greg Pitner , Stanford University
Max M. Shulaker , Stanford University
Tony F. Wu , Stanford University
Mehdi Asheghi , Stanford University
Jeff Bokor , University of California, Berkeley
Franz Franchetti , Carnegie Mellon University
Kenneth E. Goodson , Stanford University
Christos Kozyrakis , Stanford University
Igor Markov , University of Michigan, Ann Arbor
Kunle Olukotun , Stanford University
Larry Pileggi , Carnegie Mellon University
Eric Pop , Stanford University
Jan Rabaey , University of California, Berkeley
Christopher Re , Stanford University
H.-S. Philip Wong , Stanford University
Subhasish Mitra , Stanford University
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.
INDEX TERMS
Three-dimensional displays, CNTFETs, Random access memory, Memory management, Logic gates, Energy efficiency
CITATION

M. M. Sabry Aly et al., "Energy-Efficient Abundant-Data Computing: The N3XT 1,000x," in Computer, vol. 48, no. 12, pp. 24-33, 2015.
doi:10.1109/MC.2015.376
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