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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
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.
Three-dimensional displays, CNTFETs, Random access memory, Memory management, Logic gates, Energy efficiency
Mohamed M. Sabry Aly, Mingyu Gao, Gage Hills, Chi-Shuen Lee, Greg Pitner, Max M. Shulaker, Tony F. Wu, Mehdi Asheghi, Jeff Bokor, Franz Franchetti, Kenneth E. Goodson, Christos Kozyrakis, Igor Markov, Kunle Olukotun, Larry Pileggi, Eric Pop, Jan Rabaey, Christopher Re, H.-S. Philip Wong, Subhasish Mitra, "Energy-Efficient Abundant-Data Computing: The N3XT 1,000x", Computer, vol. 48, no. , pp. 24-33, Dec. 2015, doi:10.1109/MC.2015.376
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