High-Performance Spiking Neural Network Simulator
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F19%3A00331850" target="_blank" >RIV/68407700:21240/19:00331850 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8760291" target="_blank" >https://ieeexplore.ieee.org/document/8760291</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/MECO.2019.8760291" target="_blank" >10.1109/MECO.2019.8760291</a>
Alternative languages
Result language
angličtina
Original language name
High-Performance Spiking Neural Network Simulator
Original language description
Simulation of neural networks is a significant task for contemporary artificial intelligence research. Despite the availability of modern processing hardware, the task is still too demanding to be done in a sequential way. Therefore, a parallel computation approach is almost always necessary. Modern graphical accelerators (GPUs) represent highly parallel machines with a significant computational performance that can be unleashed only under certain conditions including threads scheduling, proper sources occupation, aligned data access, communication management, etc. We have proposed a novel acceleration approach for large neural networks. It is using a GPU and incorporating biologically highly precise spiking neurons that can imitate real biological neurons. The simulator can be, for example, used for research of communication dynamics of large neural networks with tens of thousands of spiking neurons.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20206 - Computer hardware and architecture
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 8th Mediterranean Conference on Embedded Computing - MECO'2019
ISBN
978-1-7281-1739-3
ISSN
2377-5475
e-ISSN
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Number of pages
4
Pages from-to
88-91
Publisher name
Institute of Electrical and Electronics Engineers, Inc.
Place of publication
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Event location
Budva
Event date
Jun 10, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000492146100030