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| Registros recuperados : 427 | |
| 67. |  | SOARES, J. M.; COSTA, A. L. C.; MOURA, M. S. B. de. Avaliação da distribuição do sistema radicular da videira na região do Submédio São Francisco. In: CONGRESSO LATINO-AMERICANO DE VITICULTURA E ENOLOGIA, 10.; CONGRESSO BRASILEIRO DE VITICULTURA E ENOLOGIA, 11.; SEMINÁRIO FRANCO-BRASILEIRO DE VITICULTURA E ENOLOGIA, 2., 2005, Bento Gonçalves. Anais... Bento Gonçalves: Embrapa Uva e Vinho, 2005. p. 260. (Embrapa Uva e Vinho. Documentos, 55).| Biblioteca(s): Embrapa Semiárido. |
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| 69. | | SILVA, P. P. L.; GOMES, V. P; GALVÍNCIO, J. D.; MOURA, M. S. B. de. Impacto das perturbações ambientais históricas do semiárido brasileiro no acúmulo de biomassa e carbono pela caatinga. In: WORKSHOP DE MUDANÇAS CLIMÁTICAS E RECURSOS HÍDRICOS DO ESTADO DE PERNAMBUCO, 8.; WORKSHOP INTERNACIONAL SOBRE MUDANÇAS CLIMÁTICAS E BIODIVERSIDADE, 5., 2017, Recife. Governança, desenvolvimento e tecnologias ambientais. Recife: ITEP, 2017. 1 CD-ROM| Biblioteca(s): Embrapa Semiárido. |
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| 77. | | NAUE, C. R.; GALVÍNCIO, J. D.; MOURA, M. S. B. de; COSTA, V. S. de O. Resposta espectral de espécies da Caatinga, In: SIMPÓSIO DE MUDANÇAS CLIMÁTICAS E DESERTIFICAÇÃO NO SEMIÁRIDO BRASILEIRO, 3., 2011, Juazeiro. Experiências para mitigação e adaptação. Petrolina: Embrapa Semiárido, 2011. 1 CD-ROM. (Embrapa Semiárido. Documentos, 239).| Biblioteca(s): Embrapa Semiárido. |
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| 78. | | GALVÍNCIO, J. D.; OLIVEIRA, T. H. de; SILVA, B. B. da; MOURA, M. S. B. de. Saldo de radiação em Região Semiárida do Nordeste do Brasil, In: SIMPÓSIO DE MUDANÇAS CLIMÁTICAS E DESERTIFICAÇÃO NO SEMIÁRIDO BRASILEIRO, 3., 2011, Juazeiro. Experiências para mitigação e adaptação. Petrolina: Embrapa Semiárido, 2011. 1 CD-ROM. (Embrapa Semiárido. Documentos, 239).| Biblioteca(s): Embrapa Semiárido. |
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| 79. | | PIRES, W. N.; MOURA, M. S. B. de; RODRIGUES, G. D. da S.; LACERDA, F. F. Radiação fotossinteticamente ativa durante o período chuvoso em vegetação de Caatinga em regeneração na Chapada do Araripe, PE. In: CONGRESSO INTERNACIONAL DA REALIDADE SEMIÁRIDA, 2.; SIMPÓSIO ALAGOANO SOBRE ECOSSISTEMAS DO SEMIÁRIDO, 3., 2014, Delmiro Gouveia. Anais... Delmiro Gouveia: UFLA, Campus do Sertão, 2014. 1 CD-ROM.| Biblioteca(s): Embrapa Semiárido. |
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| Registros recuperados : 427 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
22/06/2018 |
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Data da última atualização: |
22/06/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
MIRANDA, R. de Q.; GALVÍNCIO, J. D.; MOURA, M. S. B. de; SRINIVASAN, R. |
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Afiliação: |
RODRIGO DE QUEIROGA MIRANDA, Universidade Federal de Pernambuco; JOSICLÊDA DOMICIANO GALVÍNCIO, Universidade Federal de Pernambuco; MAGNA SOELMA BESERRA DE MOURA, CPATSA; RAGHAVAN SRINIVASAN, Professor, Spatial Sciences Laboratory, Texas A&M University, College Station, Texas, United States of America. |
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Título: |
Parallelization of the SUFI2 algorithm: a Windows HPC approach. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Revista Brasileira de Geografia Física, v. 10, n. 5, p. 1535-1544, 2017. |
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ISSN: |
1984-2295 |
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Idioma: |
Inglês |
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Conteúdo: |
The Soil and Water Assessment Tool (SWAT) has been used for evaluating land use changes on water resources worldwide, and like many models, SWAT requires calibration. However, the execution time of these calibrations can be rather long, reducing the time available for proper analysis. This paper presents a Windows approach for calibrating SWAT using a multinodal cluster computer, composed of six computers with i7 processors (3.2 GHz; 12 cores), 8 GB RAM and 1 TB HDD each. The only requirement for this type of cluster is to have 64-bit processors. Our computers were setup with Windows Server HPC 2012 R2, a network switch 10/100, and regular Ethernet cables. We used the SUFI2 algorithm that comes with SWAT-CUP package to perform calibrations with 100 simulations at node level. Calibration runs were configured as follows: 1-12 (1 process interval), and 12-72 (12 processes interval), resulting in 17 runs. Each run was repeated three times, and results are presented as the mean execution time, in order to minimize any influence of resources fluctuations. Results showed that time of execution was reduced by almost half by using nine processes (15 min) in comparison with the one node control (28 min). We observed a linear decrease of execution time from one to nine processes. With additional processes, execution time increased about 23% and stabilized at 80% of the control. All processing is divided into five steps: distribute files (2.24% of all processing time), organize samples (0.89%), run SWAT (47.59%), collect results (46.51%) and cleanup (0.28%). MenosThe Soil and Water Assessment Tool (SWAT) has been used for evaluating land use changes on water resources worldwide, and like many models, SWAT requires calibration. However, the execution time of these calibrations can be rather long, reducing the time available for proper analysis. This paper presents a Windows approach for calibrating SWAT using a multinodal cluster computer, composed of six computers with i7 processors (3.2 GHz; 12 cores), 8 GB RAM and 1 TB HDD each. The only requirement for this type of cluster is to have 64-bit processors. Our computers were setup with Windows Server HPC 2012 R2, a network switch 10/100, and regular Ethernet cables. We used the SUFI2 algorithm that comes with SWAT-CUP package to perform calibrations with 100 simulations at node level. Calibration runs were configured as follows: 1-12 (1 process interval), and 12-72 (12 processes interval), resulting in 17 runs. Each run was repeated three times, and results are presented as the mean execution time, in order to minimize any influence of resources fluctuations. Results showed that time of execution was reduced by almost half by using nine processes (15 min) in comparison with the one node control (28 min). We observed a linear decrease of execution time from one to nine processes. With additional processes, execution time increased about 23% and stabilized at 80% of the control. All processing is divided into five steps: distribute files (2.24% of all processing time), organize samples ... Mostrar Tudo |
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Palavras-Chave: |
Alta performance; SWAT. |
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Thesagro: |
Hidrologia; Recurso Hídrico; Recurso Natural; Uso da Terra. |
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Thesaurus NAL: |
Natural resources; Water resources. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/178903/1/Magna-3.pdf
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Marc: |
LEADER 02326naa a2200265 a 4500
001 2092702
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008 2017 bl uuuu u00u1 u #d
022 $a1984-2295
100 1 $aMIRANDA, R. de Q.
245 $aParallelization of the SUFI2 algorithm$ba Windows HPC approach.$h[electronic resource]
260 $c2017
520 $aThe Soil and Water Assessment Tool (SWAT) has been used for evaluating land use changes on water resources worldwide, and like many models, SWAT requires calibration. However, the execution time of these calibrations can be rather long, reducing the time available for proper analysis. This paper presents a Windows approach for calibrating SWAT using a multinodal cluster computer, composed of six computers with i7 processors (3.2 GHz; 12 cores), 8 GB RAM and 1 TB HDD each. The only requirement for this type of cluster is to have 64-bit processors. Our computers were setup with Windows Server HPC 2012 R2, a network switch 10/100, and regular Ethernet cables. We used the SUFI2 algorithm that comes with SWAT-CUP package to perform calibrations with 100 simulations at node level. Calibration runs were configured as follows: 1-12 (1 process interval), and 12-72 (12 processes interval), resulting in 17 runs. Each run was repeated three times, and results are presented as the mean execution time, in order to minimize any influence of resources fluctuations. Results showed that time of execution was reduced by almost half by using nine processes (15 min) in comparison with the one node control (28 min). We observed a linear decrease of execution time from one to nine processes. With additional processes, execution time increased about 23% and stabilized at 80% of the control. All processing is divided into five steps: distribute files (2.24% of all processing time), organize samples (0.89%), run SWAT (47.59%), collect results (46.51%) and cleanup (0.28%).
650 $aNatural resources
650 $aWater resources
650 $aHidrologia
650 $aRecurso Hídrico
650 $aRecurso Natural
650 $aUso da Terra
653 $aAlta performance
653 $aSWAT
700 1 $aGALVÍNCIO, J. D.
700 1 $aMOURA, M. S. B. de
700 1 $aSRINIVASAN, R.
773 $tRevista Brasileira de Geografia Física$gv. 10, n. 5, p. 1535-1544, 2017.
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