- -

DMRlib: Easy-coding and efficient resource management for job malleability

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

DMRlib: Easy-coding and efficient resource management for job malleability

Show full item record

Iserte, S.; Mayo, R.; Quintana-Ortí, ES.; Peña Monferrer, AJ. (2021). DMRlib: Easy-coding and efficient resource management for job malleability. IEEE Transactions on Computers. 79(9):1443-1457. https://doi.org/10.1109/TC.2020.3022933

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/183162

Files in this item

Item Metadata

Title: DMRlib: Easy-coding and efficient resource management for job malleability
Author: Iserte, Sergio Mayo, Rafael Quintana-Ortí, Enrique S. Peña Monferrer, Antonio José
UPV Unit: Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors
Issued date:
Abstract:
[EN] Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the ...[+]
Subjects: Runtime , Libraries , Resource management , Programming , Standards , Syntactics , Throughput , Processes reconfiguration , MPI malleability , Job elastic resize , Dynamic reallocation of resources , Productivity-aware computation
Copyrigths: Reserva de todos los derechos
Source:
IEEE Transactions on Computers. (issn: 0018-9340 )
DOI: 10.1109/TC.2020.3022933
Publisher:
Institute of Electrical and Electronics Engineers
Publisher version: https://doi.org/10.1109/TC.2020.3022933
Project ID:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/TIN2017-82972-R/ES/TECNICAS ALGORITMICAS PARA COMPUTACION DE ALTO RENDIMIENTO CONSCIENTE DEL CONSUMO ENERGETICO Y RESISTENTE A ERRORES/
info:eu-repo/grantAgreement/EC/H2020/749516/EU
info:eu-repo/grantAgreement/MINECO//TIN2014-53495-R/ES/COMPUTACION HETEROGENEA DE BAJO CONSUMO/
info:eu-repo/grantAgreement/MINECO//TIN2015-65316-P/ES/COMPUTACION DE ALTAS PRESTACIONES VII/
info:eu-repo/grantAgreement/GVA//APOSTD%2F2020%2F026/
Thanks:
This work was supported in part by Projects TIN2014-53495-R, TIN2015-65316-P, and TIN2017-82972-R from MINECO and FEDER. This project has received funding fromthe European Union's Horizon 2020 research and innovation ...[+]
Type: Artículo

recommendations

 

This item appears in the following Collection(s)

Show full item record