High-throughput Computation through Efficient Resource Management
This proposal addresses, from two different approaches, the improvement of data centers productivity through an efficient resource management. On the one hand, the combination of GPU remote virtualization technologies with workload managers in HPC clusters and cloud computing environments. On the ot...
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| Tipo de documento: | tese |
| Estado: | Versão publicada |
| Data de publicação: | 2018 |
| País: | España |
| Recursos: | CBUC, CESCA |
| Repositório: | TDR. Tesis Doctorales en Red |
| OAI Identifier: | oai:www.tdx.cat:10803/664128 |
| Acesso em linha: | http://hdl.handle.net/10803/664128 http://dx.doi.org/10.6035/14101.2018.176272 |
| Access Level: | Acceso aberto |
| Palavra-chave: | GPU Virtualization Process Malleability Job Reconfiguration Resource Management Tecnologies de la informació i les comunicacions (TIC) 004 |
| Resumo: | This proposal addresses, from two different approaches, the improvement of data centers productivity through an efficient resource management. On the one hand, the combination of GPU remote virtualization technologies with workload managers in HPC clusters and cloud computing environments. On the other hand, job reconfigurations in terms of varying its number of processes during the execution. Performance evaluations reveal a non-negligible improvement not only in the throughput, but also, in the job waiting time and in the energy consumption. |
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