Institute of Electrical and Electronics Engineers (IEEE)

IEEE Micro

, том 38 , издание 1 , страницы 82-99

Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

Тип публикации: Journal Article

Дата публикации: 2018-01-16

Institute of Electrical and Electronics Engineers (IEEE)

IEEE Micro

scimago Q1

wos Q2

БС1

SJR: 0.945

CiteScore: 7.1

Impact factor: 2.9

ISSN: 02721732, 19374143

DOI: 10.1109/MM.2018.112130359

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Electrical and Electronic Engineering

Hardware and Architecture

Software

Краткое описание

Loihi is a 60-mm2 chip fabricated in Intels 14-nm process that advances the state-of-the-art modeling of spiking neural networks in silicon. It integrates a wide range of novel features for the field, such as hierarchical connectivity, dendritic compartments, synaptic delays, and, most importantly, programmable synaptic learning rules. Running a spiking convolutional form of the Locally Competitive Algorithm, Loihi can solve LASSO optimization problems with over three orders of magnitude superior energy-delay-product compared to conventional solvers running on a CPU iso-process/voltage/area. This provides an unambiguous example of spike-based computation, outperforming all known conventional solutions.

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ГОСТ |

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DAVIES M. et al. Loihi: A Neuromorphic Manycore Processor with On-Chip Learning // IEEE Micro. 2018. Vol. 38. No. 1. pp. 82-99.

ГОСТ со всеми авторами (до 50) Скопировать

DAVIES M., Srinivasa N., Lin T., Chinya G., CAO Y., Choday S. H., Dimou G., Joshi P., Imam N., Jain S., Liao Y., Lin C., Lines A., Liu R., Mathaikutty D., Mccoy S., Paul A., Tse J., Venkataramanan G., Weng Y., Wild A., Yang Y., Wang H. Loihi: A Neuromorphic Manycore Processor with On-Chip Learning // IEEE Micro. 2018. Vol. 38. No. 1. pp. 82-99.

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TY - JOUR

DO - 10.1109/MM.2018.112130359

UR - https://doi.org/10.1109/MM.2018.112130359

TI - Loihi: A Neuromorphic Manycore Processor with On-Chip Learning

T2 - IEEE Micro

AU - DAVIES, MIKE

AU - Srinivasa, Narayan

AU - Lin, Tsung-han

AU - Chinya, Gautham

AU - CAO, YONGQIANG

AU - Choday, Sri Harsha

AU - Dimou, Georgios

AU - Joshi, Prasad

AU - Imam, Nabil

AU - Jain, Shweta

AU - Liao, Yuyun

AU - Lin, Chit-Kwan

AU - Lines, Andrew

AU - Liu, Ruokun

AU - Mathaikutty, Deepak

AU - Mccoy, Steven

AU - Paul, Arnab

AU - Tse, Jonathan

AU - Venkataramanan, Guruguhanathan

AU - Weng, Yi-Hsin

AU - Wild, Andreas

AU - Yang, Yoonseok

AU - Wang, Hong

PY - 2018

DA - 2018/01/16

PB - Institute of Electrical and Electronics Engineers (IEEE)

SP - 82-99

IS - 1

VL - 38

SN - 0272-1732

SN - 1937-4143

ER -

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@article{2018_DAVIES,

author = {MIKE DAVIES and Narayan Srinivasa and Tsung-han Lin and Gautham Chinya and YONGQIANG CAO and Sri Harsha Choday and Georgios Dimou and Prasad Joshi and Nabil Imam and Shweta Jain and Yuyun Liao and Chit-Kwan Lin and Andrew Lines and Ruokun Liu and Deepak Mathaikutty and Steven Mccoy and Arnab Paul and Jonathan Tse and Guruguhanathan Venkataramanan and Yi-Hsin Weng and Andreas Wild and Yoonseok Yang and Hong Wang},

title = {Loihi: A Neuromorphic Manycore Processor with On-Chip Learning},

journal = {IEEE Micro},

year = {2018},

volume = {38},

publisher = {Institute of Electrical and Electronics Engineers (IEEE)},

month = {jan},

url = {https://doi.org/10.1109/MM.2018.112130359},

number = {1},

pages = {82--99},

doi = {10.1109/MM.2018.112130359}

}

MLA

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MLA Скопировать

DAVIES, MIKE, et al. “Loihi: A Neuromorphic Manycore Processor with On-Chip Learning.” IEEE Micro, vol. 38, no. 1, Jan. 2018, pp. 82-99. https://doi.org/10.1109/MM.2018.112130359.

Издатель

Institute of Electrical and Electronics Engineers (IEEE)

Журнал

IEEE Micro

scimago Q1

wos Q2

БС1

SJR

0.945

CiteScore

7.1

Impact factor

2.9

ISSN

02721732 (Print)

19374143 (Electronic)