IO-SEA: Software for exascale architectures driven by hierarchical storage management approach

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F22%3A10250507" target="_blank" >RIV/61989100:27740/22:10250507 - isvavai.cz</a>

Výsledek na webu

<a href="https://events.it4i.cz/event/148/" target="_blank" >https://events.it4i.cz/event/148/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

IO-SEA: Software for exascale architectures driven by hierarchical storage management approach

Popis výsledku v původním jazyce

The webinar presented a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and ephemeral data life-cycle management. The aim of the platform is to allow efficient usage of storage tiers. Critical aspects of intelligent data placement are considered for extreme volumes of data. This ensures that the right resources among the storage tiers are used and accessed by data nodes as close as possible to compute nodes - optimizing performance, cost, and energy at an extreme scale. The methods and techniques presented are applicable to exascale class data intensive applications and workflows that need to be deployed in highly heterogeneous computing environments. System requirements are driven by six data intensive use-cases, which were introduced during the second half of the webinar.

Název v anglickém jazyce

IO-SEA: Software for exascale architectures driven by hierarchical storage management approach

Popis výsledku anglicky

The webinar presented a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and ephemeral data life-cycle management. The aim of the platform is to allow efficient usage of storage tiers. Critical aspects of intelligent data placement are considered for extreme volumes of data. This ensures that the right resources among the storage tiers are used and accessed by data nodes as close as possible to compute nodes - optimizing performance, cost, and energy at an extreme scale. The methods and techniques presented are applicable to exascale class data intensive applications and workflows that need to be deployed in highly heterogeneous computing environments. System requirements are driven by six data intensive use-cases, which were introduced during the second half of the webinar.

Druh

O - Ostatní výsledky

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

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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