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Title: Simulating and Estimating the Behavior of a Neuromorphic Co-Processor. In: PMES'17 Proceedings of the Second International Workshop on Post Moores Era Supercomputing

Abstract

Neuromorphic computing represents one technology likely to be incorporated into future supercomputers. In this work, we present initial results on a potential neuromorphic co-processor, including a preliminary device design that includes memristors, estimates on energy usage for the co-processor, and performance of an on-line learning mechanism. We also present a high-level co-processor simulator used to estimate the performance of the neuromorphic co-processor on real applications. We discuss future use-cases of a potential neuromorphic co-processor in the supercomputing environment, including as an accelerator for supervised learning and for unsupervised, on-line learning tasks. Finally, we discuss plans for future work.

Authors:
 [1];  [1];  [1];  [2];  [2];  [3];  [3]
  1. Oak Ridge National Laboratory, Oak Ridge, Tennessee
  2. University of Tennessee, Knoxville, Tennessee
  3. Georgia Institute of Technology, Atlanta, Georgia
Publication Date:
Research Org.:
Oak Ridge National Laboratory, Oak Ridge Leadership Computing Facility (OLCF)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1567652
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: Second International Workshop on Post Moores Era Supercomputing, Denver, CO, USA, November 12 - 17, 2017
Country of Publication:
United States
Language:
English

Citation Formats

Schuman, Catherine D., Pooser, Raphael, Mintz, Tiffany, Adnan, Md Musabbir, Rose, Garrett S., Ku, Bon Woong, and Lim, Sung Kyu. Simulating and Estimating the Behavior of a Neuromorphic Co-Processor. In: PMES'17 Proceedings of the Second International Workshop on Post Moores Era Supercomputing. United States: N. p., 2017. Web. doi:10.1145/3149526.3149529.
Schuman, Catherine D., Pooser, Raphael, Mintz, Tiffany, Adnan, Md Musabbir, Rose, Garrett S., Ku, Bon Woong, & Lim, Sung Kyu. Simulating and Estimating the Behavior of a Neuromorphic Co-Processor. In: PMES'17 Proceedings of the Second International Workshop on Post Moores Era Supercomputing. United States. doi:10.1145/3149526.3149529.
Schuman, Catherine D., Pooser, Raphael, Mintz, Tiffany, Adnan, Md Musabbir, Rose, Garrett S., Ku, Bon Woong, and Lim, Sung Kyu. Sun . "Simulating and Estimating the Behavior of a Neuromorphic Co-Processor. In: PMES'17 Proceedings of the Second International Workshop on Post Moores Era Supercomputing". United States. doi:10.1145/3149526.3149529.
@article{osti_1567652,
title = {Simulating and Estimating the Behavior of a Neuromorphic Co-Processor. In: PMES'17 Proceedings of the Second International Workshop on Post Moores Era Supercomputing},
author = {Schuman, Catherine D. and Pooser, Raphael and Mintz, Tiffany and Adnan, Md Musabbir and Rose, Garrett S. and Ku, Bon Woong and Lim, Sung Kyu},
abstractNote = {Neuromorphic computing represents one technology likely to be incorporated into future supercomputers. In this work, we present initial results on a potential neuromorphic co-processor, including a preliminary device design that includes memristors, estimates on energy usage for the co-processor, and performance of an on-line learning mechanism. We also present a high-level co-processor simulator used to estimate the performance of the neuromorphic co-processor on real applications. We discuss future use-cases of a potential neuromorphic co-processor in the supercomputing environment, including as an accelerator for supervised learning and for unsupervised, on-line learning tasks. Finally, we discuss plans for future work.},
doi = {10.1145/3149526.3149529},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2017},
month = {1}
}

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Works referenced in this record:

Nanoscale Memristor Device as Synapse in Neuromorphic Systems
journal, April 2010

  • Jo, Sung Hyun; Chang, Ting; Ebong, Idongesit
  • Nano Letters, Vol. 10, Issue 4, p. 1297-1301
  • DOI: 10.1021/nl904092h