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Title: High-Level Simulation for Spiking Neuromorphic Computing Systems

Abstract

Neuromorphic computing systems are alternatives to conventional microprocessors, often built from unconventional hardware. Designing and evaluating these systems requires multiple levels of simulation, from the device level to the circuit level to the system level. In this paper, we describe the system level simulator of a neuromorphic computing system based on memristors. We compare it to a circuit level simulator of the same system, both verifying its accuracy and demonstrating its performance improvement. We argue that system level simulation is an essential part of the design process of neuromorphic systems.

Authors:
 [1]; ORCiD logo [2];  [1];  [1];  [1]
  1. University of Tennessee (UT)
  2. ORNL
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
OSTI Identifier:
1437900
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Conference
Resource Relation:
Conference: International Symposium on Circuits and Systems (ISCAS 2018) - Florence, , Italy - 5/27/2018 8:00:00 AM-5/30/2018 8:00:00 AM
Country of Publication:
United States
Language:
English

Citation Formats

Skuda, Nicholas, Schuman, Catherine D., Chakma, Gangotree, Plank, James, and Rose, Garrett. High-Level Simulation for Spiking Neuromorphic Computing Systems. United States: N. p., 2018. Web. doi:10.1109/ISCAS.2018.8351840.
Skuda, Nicholas, Schuman, Catherine D., Chakma, Gangotree, Plank, James, & Rose, Garrett. High-Level Simulation for Spiking Neuromorphic Computing Systems. United States. doi:10.1109/ISCAS.2018.8351840.
Skuda, Nicholas, Schuman, Catherine D., Chakma, Gangotree, Plank, James, and Rose, Garrett. Tue . "High-Level Simulation for Spiking Neuromorphic Computing Systems". United States. doi:10.1109/ISCAS.2018.8351840. https://www.osti.gov/servlets/purl/1437900.
@article{osti_1437900,
title = {High-Level Simulation for Spiking Neuromorphic Computing Systems},
author = {Skuda, Nicholas and Schuman, Catherine D. and Chakma, Gangotree and Plank, James and Rose, Garrett},
abstractNote = {Neuromorphic computing systems are alternatives to conventional microprocessors, often built from unconventional hardware. Designing and evaluating these systems requires multiple levels of simulation, from the device level to the circuit level to the system level. In this paper, we describe the system level simulator of a neuromorphic computing system based on memristors. We compare it to a circuit level simulator of the same system, both verifying its accuracy and demonstrating its performance improvement. We argue that system level simulation is an essential part of the design process of neuromorphic systems.},
doi = {10.1109/ISCAS.2018.8351840},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}

Conference:
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