Adam W. Disney, James S. Plank and Mark Dean

July, 2018

ICONS: International Conference on Neuromorphic Systems

https://ornlcda.github.io/icons2018/

View Article

Abstract

DANNA is a computing architecture, designed in 2014 to meld features of recurrent, spiking, plastic neurmorphic computing systems with very eicient hardware implementations. Its hardware design and FPGA implementation preceded any software support or simulation. Therefore, the development of simulators for DANNA had multiple, and sometimes conlicting goals. In this paper, we describe four separate simulators for DANNA, including their motivations and details of their implementations. We present a performance evaluation, and conclude with lessons learned. We intend this work to be useful to researchers involved in the co-design of novel hardware and software systems.

Citation Information

Text

author          A. W. Disney and J. S. Plank and M. Dean
title           Four Simulators of the {DANNA} Neuromorphic Computing Architecture
booktitle       International Conference on Neuromorphic Computing Systems
publisher       ACM
address         Knoxville, TN
month           July
year            2018
doi             10.1145/3229884.3229893
where           https://dl.acm.org/citation.cfm?id=3229893

Bibtex

@INPROCEEDINGS{dpd:18:fsd,
    author = "A. W. Disney and J. S. Plank and M. Dean",
    title = "Four Simulators of the {DANNA} Neuromorphic Computing Architecture",
    booktitle = "International Conference on Neuromorphic Computing Systems",
    publisher = "ACM",
    address = "Knoxville, TN",
    month = "July",
    year = "2018",
    doi = "10.1145/3229884.3229893",
    where = "https://dl.acm.org/citation.cfm?id=3229893"
}