| Texto completo | |
| Autor(es): |
da Silva, Vinicius S.
[1]
;
Nogueira, Angelo G. D.
[1]
;
de Lima, Everton Camargo
[1]
;
Rocha, Hiago M. G. de A.
[2]
;
Serpa, Matheus S.
[2]
;
Luizelli, Marcelo C.
[1]
;
Rossi, Fabio D.
[3]
;
Navaux, Philippe O. A.
[2]
;
Beck, Antonio Carlos S.
[2]
;
Lorenzon, Arthur Francisco
[1]
Número total de Autores: 10
|
| Afiliação do(s) autor(es): | [1] Fed Univ Pampa, Optimizat Syst Lab, Campus Alegrete, Alegrete - Brazil
[2] Univ Fed Rio Grande do Sul, Inst Informat, Porto Alegre, RS - Brazil
[3] Fed Inst Farroupilha, Optimizat Syst Lab, Alegrete - Brazil
Número total de Afiliações: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE; SEP 2021. |
| Citações Web of Science: | 0 |
| Resumo | |
Thread-level parallelism (TLP) has been widely exploited to optimize computational resource usage in high-performance systems. However, as many applications do not scale as the number of threads increase, resources will be wasted when the application executes with the maximum possible number of threads (i.e., the default execution) rather than fewer threads (thread throttling) that may use the resources more efficiently. Hence, instead of executing only one application with as many threads as possible, one can run more applications simultaneously by applying thread throttling to each one. The primary outcome of this strategy is a significant reduction in the total execution time and energy consumption when the system needs to execute a list of applications. Given that, we propose a smart resource allocation (SRA) for concurrent parallel application execution. It automatically finds the ideal degree of TLP for each application and guides the simultaneous parallel applications execution. When running 25 well-known benchmarks on three multicore systems and comparing SRA to state-of-the-art strategies (e.g., Batch, Equal policy, and Scalability), SRA improves the EDP by 87.4% over the Batch strategy; 75.5% over the Equal policy; and 38.8% over the scalability strategy. (AU) | |
| Processo FAPESP: | 20/05115-4 - Orquestração de pacotes exploratórios para telemetria de redes In-Band |
| Beneficiário: | Fábio Diniz Rossi |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |
| Processo FAPESP: | 18/23092-1 - Orquestração da telemetria em planos de dados programáveis |
| Beneficiário: | Marcelo Caggiani Luizelli |
| Modalidade de apoio: | Auxílio à Pesquisa - Regular |