Distributed HPC Resources Orchestration for Supporting Large-Scale Workflow Execution

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10252100" target="_blank" >RIV/61989100:27740/22:10252100 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.taylorfrancis.com/chapters/edit/10.1201/9781003176664-5/distributed-hpc-resources-orchestration-supporting-large-scale-workflow-execution-alberto-scionti-paolo-viviani-giacomo-vitali-chiara-vercellino-olivier-terzo-stephan-hachinger-luk%C3%A1%C5%A1-vojacek-v%C3%A1clav-svato%C5%88-jan-k%C5%99enek-fr%C3%A9d%C3%A9ric-donnat-fran%C3%A7ois-exertier?context=ubx&refId=4f928477-9492-4331-a589-b1ba5e5b03c7" target="_blank" >https://www.taylorfrancis.com/chapters/edit/10.1201/9781003176664-5/distributed-hpc-resources-orchestration-supporting-large-scale-workflow-execution-alberto-scionti-paolo-viviani-giacomo-vitali-chiara-vercellino-olivier-terzo-stephan-hachinger-luk%C3%A1%C5%A1-vojacek-v%C3%A1clav-svato%C5%88-jan-k%C5%99enek-fr%C3%A9d%C3%A9ric-donnat-fran%C3%A7ois-exertier?context=ubx&refId=4f928477-9492-4331-a589-b1ba5e5b03c7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1201/9781003176664-5" target="_blank" >10.1201/9781003176664-5</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Distributed HPC Resources Orchestration for Supporting Large-Scale Workflow Execution

Popis výsledku v původním jazyce

Scientific and industrial applications have become more complex over the past decades and nowadays include multi-domain workflows (e.g. ingestion of large (unstructured) datasets, high-performance computing simulations, machine learning tasks). This chapter discusses the EU-funded H2020 LEXIS project approach to the effective management of such multi-domain workflows and their execution on heterogeneous and geographically distributed computing resources. The LEXIS project solution aims at providing users with a tool to describe all the steps involved in the execution of the application (i.e. the workflow) and their execution on the most appropriate pool of resources.

Název v anglickém jazyce

Distributed HPC Resources Orchestration for Supporting Large-Scale Workflow Execution

Popis výsledku anglicky

Scientific and industrial applications have become more complex over the past decades and nowadays include multi-domain workflows (e.g. ingestion of large (unstructured) datasets, high-performance computing simulations, machine learning tasks). This chapter discusses the EU-funded H2020 LEXIS project approach to the effective management of such multi-domain workflows and their execution on heterogeneous and geographically distributed computing resources. The LEXIS project solution aims at providing users with a tool to describe all the steps involved in the execution of the application (i.e. the workflow) and their execution on the most appropriate pool of resources.

Druh

C - Kapitola v odborné knize

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

HPC, Big Data, and AI Convergence Towards Exascale: Challenge and Vision

ISBN

978-1-00-317666-4

Počet stran výsledku

23

Strana od-do

81-103

Počet stran knihy

322

Název nakladatele

CRC Press

Místo vydání

Boca Raton

Kód UT WoS kapitoly

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