SciJava interface for parallel execution in the ImageJ ecosystem

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10239673" target="_blank" >RIV/61989100:27240/18:10239673 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/18:10239673

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-319-99954-8_25" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-319-99954-8_25</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-99954-8_25" target="_blank" >10.1007/978-3-319-99954-8_25</a>

Jazyk výsledku

angličtina

Název v původním jazyce

SciJava interface for parallel execution in the ImageJ ecosystem

Popis výsledku v původním jazyce

ImageJ has become a popular software platform for image processing and its community has developed and made available numerous plugins for scientific audiences. Nevertheless, no platform-wide solution for parallel processing of big data has been created so far. As ImageJ is a part of the SciJava collaboration project, we propose the concept of seamlessly integrating parallelization-providing capability into one of the SciJava libraries. Specifically, this approach strives to make high-performance infrastructure accessible to ImageJ plugin developers whilst remaining extensible and technology-agnostic. Two parallelization approaches were created and experimentally evaluated on an HPC infrastructure. The results indicate good scalability and are promising for prospective integration of the created functionality into the SciJava Common library. (C) Springer Nature Switzerland AG 2018.

Název v anglickém jazyce

SciJava interface for parallel execution in the ImageJ ecosystem

Popis výsledku anglicky

ImageJ has become a popular software platform for image processing and its community has developed and made available numerous plugins for scientific audiences. Nevertheless, no platform-wide solution for parallel processing of big data has been created so far. As ImageJ is a part of the SciJava collaboration project, we propose the concept of seamlessly integrating parallelization-providing capability into one of the SciJava libraries. Specifically, this approach strives to make high-performance infrastructure accessible to ImageJ plugin developers whilst remaining extensible and technology-agnostic. Two parallelization approaches were created and experimentally evaluated on an HPC infrastructure. The results indicate good scalability and are promising for prospective integration of the created functionality into the SciJava Common library. (C) Springer Nature Switzerland AG 2018.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/EF16_013%2F0001791" target="_blank" >EF16_013/0001791: IT4Innovations národní superpočítačové centrum - cesta k exascale</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Lecture Notes in Computer Science. Volume 11127

ISBN

978-3-319-99953-1

ISSN

0302-9743

e-ISSN

1611-3349

Počet stran výsledku

12

Strana od-do

288-299

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Olomouc

Datum konání akce

27. 9. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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