About: A brief survey of advances in particle swarm optimization on graphic processing units

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: A brief survey of advances in particle swarm optimization on graphic processing units Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	In the last few years, the Graphic Processing Units (GPUs) emerged as an exciting new hardware environment available for a truly parallel implementation and execution of Nature and Bio-inspired Algorithms. In contrast to common multicore CPUs that contain up to tens of independent cores, the GPUs represent a massively parallel single-instruction multiple-data (SIMD) devices that can nowadays reach peak performance of hundreds and thousands of giga FLOPS (floating-point operations per second). Nature and Bio-inspired Algorithms often adopt populational problem solving approaches and implement parallel optimization strategies in which group or groups of candidate solutions search for optimal solutions. Swarm Intelligence and Particle Swarm Optimization (PSO) in particular can be seen as multiagent methods in which the interaction of simple independent agents yields intelligent collective behavior. Such algorithms especially fit to the architecture of the GPUs. This survey provides a brief overview of the latest state-of-the-art research on the design, implementation, and applications of PSO-based methods on the GPUs. In the last few years, the Graphic Processing Units (GPUs) emerged as an exciting new hardware environment available for a truly parallel implementation and execution of Nature and Bio-inspired Algorithms. In contrast to common multicore CPUs that contain up to tens of independent cores, the GPUs represent a massively parallel single-instruction multiple-data (SIMD) devices that can nowadays reach peak performance of hundreds and thousands of giga FLOPS (floating-point operations per second). Nature and Bio-inspired Algorithms often adopt populational problem solving approaches and implement parallel optimization strategies in which group or groups of candidate solutions search for optimal solutions. Swarm Intelligence and Particle Swarm Optimization (PSO) in particular can be seen as multiagent methods in which the interaction of simple independent agents yields intelligent collective behavior. Such algorithms especially fit to the architecture of the GPUs. This survey provides a brief overview of the latest state-of-the-art research on the design, implementation, and applications of PSO-based methods on the GPUs. (en)
Title	A brief survey of advances in particle swarm optimization on graphic processing units A brief survey of advances in particle swarm optimization on graphic processing units (en)
skos:prefLabel	A brief survey of advances in particle swarm optimization on graphic processing units A brief survey of advances in particle swarm optimization on graphic processing units (en)
skos:notation	RIV/61989100:27740/13:86088865!RIV14-MSM-27740___
http://linked.open...avai/predkladatel	IT4Innovations
http://linked.open...avai/riv/aktivita	P S
http://linked.open...avai/riv/aktivity	P(ED1.1.00/02.0070), P(EE.2.3.20.0073), S
http://linked.open...vai/riv/dodaniDat	2014
http://linked.open...aciTvurceVysledku	Snášel, Václav Platoš, Jan Krömer, Pavel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Vysoká škola báňská - Technická univerzita Ostrava / IT4Innovations
http://linked.open...dnocenehoVysledku	58443
http://linked.open...ai/riv/idVysledku	RIV/61989100:27740/13:86088865
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	Survey; Research; particle swarm optimization; General purpose GPUs; Applications (en)
http://linked.open.../riv/klicoveSlovo	General purpose GPUs Applications Research Survey particle swarm optimization
http://linked.open...ontrolniKodProRIV	[8192A4AEAA01]
http://linked.open...v/mistoKonaniAkce	Fargo
http://linked.open...i/riv/mistoVydani	New York
http://linked.open...i/riv/nazevZdroje	2013 World Congress on Nature and Biologically Inspired Computing, NaBIC 2013
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	3 (xsd:int)
http://linked.open...vavai/riv/projekt	Bio-Inspired Methods: research, development and knowledge transfer IT4Innovations Centre of Excellence
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Krömer, Pavel Platoš, Jan Snášel, Václav
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2013-08-12 (xsd:date)
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/NaBIC.2013.6617859
http://purl.org/ne...btex#hasPublisher	Elsevier
https://schema.org/isbn	978-1-4799-1415-9
http://localhost/t...ganizacniJednotka	27740

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software