Just-in-time execution through on-demand resource allocation in HPC systems

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F17%3A10237483" target="_blank" >RIV/61989100:27740/17:10237483 - isvavai.cz</a>

Výsledek na webu

<a href="https://dl.acm.org/citation.cfm?doid=3127942.3127951" target="_blank" >https://dl.acm.org/citation.cfm?doid=3127942.3127951</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3127942.3127951" target="_blank" >10.1145/3127942.3127951</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Just-in-time execution through on-demand resource allocation in HPC systems

Popis výsledku v původním jazyce

This article is centred on a mathematical weather forecasting model that must run regularly (i.e. 24/7) on an HPC system. Depending on the environmental conditions, each execution of the model may have a different deadline and a different accuracy requirement. In order to minimize power consumption and heat, we minimize resource allocation as far as the deadlines allow, thus evenly spreading resource usage over time while nonetheless complying with the deadlines. Our work relies on a run-time resource manager that adapts resource allocation to the runtimevariable performance demand of applications. The resource assignment is temperature-aware: the application is dynamically migrated on the coolest cores, and this has a positive impact on the system reliability. © 2017 Association for Computing Machinery.

Název v anglickém jazyce

Just-in-time execution through on-demand resource allocation in HPC systems

Popis výsledku anglicky

This article is centred on a mathematical weather forecasting model that must run regularly (i.e. 24/7) on an HPC system. Depending on the environmental conditions, each execution of the model may have a different deadline and a different accuracy requirement. In order to minimize power consumption and heat, we minimize resource allocation as far as the deadlines allow, thus evenly spreading resource usage over time while nonetheless complying with the deadlines. Our work relies on a run-time resource manager that adapts resource allocation to the runtimevariable performance demand of applications. The resource assignment is temperature-aware: the application is dynamically migrated on the coolest cores, and this has a positive impact on the system reliability. © 2017 Association for Computing Machinery.

Druh

D - Stať ve sborníku

CEP obor

—

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/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

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

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

ACM International Conference Proceeding Series 2017

ISBN

978-1-4503-5284-0

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

5

Strana od-do

63-67

Název nakladatele

Association for Computing Machinery

Místo vydání

New York

Místo konání akce

Čedžu

Datum konání akce

10. 8. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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