Neural acceleration for GPU throughput processors-Reference-Cited by-同舟云学术

Neural acceleration for GPU throughput processors

Published:2015-12-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 48th International Symposium on Microarchitecture
language:
Short-container-title:

Author:

Yazdanbakhsh Amir¹,Park Jongse¹,Sharma Hardik¹,Lotfi-Kamran Pejman²,Esmaeilzadeh Hadi¹

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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