Neural acceleration for GPU throughput processors
Author:
Affiliation:
1. Georgia Institute of Technology
2. Institute for Research in Fundamental Sciences (IPM)
Funder
Semiconductor Research Corporation
Google
Qualcomm
National Science Foundation
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2830772.2830810
Reference59 articles.
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2. N. Hardavellas M. Ferdman B. Falsafi and A. Ailamaki "Toward dark silicon in servers " IEEE Micro 2011. 10.1109/MM.2011.77 N. Hardavellas M. Ferdman B. Falsafi and A. Ailamaki "Toward dark silicon in servers " IEEE Micro 2011. 10.1109/MM.2011.77
3. G. Venkatesh J. Sampson N. Goulding S. Garcia V. Bryksin J. Lugo-Martinez S. Swanson and M. B. Taylor "Conservation cores: Reducing the energy of mature computations " in ASPLOS 2010. 10.1145/1736020.1736044 G. Venkatesh J. Sampson N. Goulding S. Garcia V. Bryksin J. Lugo-Martinez S. Swanson and M. B. Taylor "Conservation cores: Reducing the energy of mature computations " in ASPLOS 2010. 10.1145/1736020.1736044
4. J. Gantz and D. Reinsel "Extracting value from chaos." http://www.emc.com. J. Gantz and D. Reinsel "Extracting value from chaos." http://www.emc.com.
5. "GeForce 400 series." http://en.wikipedia.org 2015. "GeForce 400 series." http://en.wikipedia.org 2015.
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