Artículo
Da Silva, M.; Nesmachnow, S.; Geier, M.; Mocskos, E.; Angiolini, J.; Levi, V.; Cristobal, A.; Storti M.; Hernandez G.; Perez-Acle T.; Vazquez M.; Hernandez C.J.B.; Diaz G.; Garino C.G.; Nesmachnow S. "Efficient fluorescence microscopy analysis over a volunteer grid/cloud infrastructure" (2014) 1st High-Performance Computing Latin America Community, HPCLATAM-CLCAR 2014 and Latin American Joint Conference, CARLA 2014. 485:113-127
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Abstract:
This work presents a distributed computing algorithm over volunteer grid/cloud computing systems for Fluorescence Correlation Spectroscopy, a computational biology technique for obtaining quantitative information about the motion of molecules in living cells. High performance computing is needed to cope with large computing times when performing complex simulations, and volunteer grid/cloud computing emerges as a powerful paradigm to solve this kind of problems by coordinately using many computing resources distributed around the world. The proposed algorithm applies a domain decomposition technique for performing many simulations using different cell models at the same time. The experimental evaluation performed on a volunteer distributing computing infrastructure demonstrates that efficient execution times are obtained when using OurGrid middleware. © Springer-Verlag Berlin Heidelberg 2014.
Registro:
| Documento: | Artículo |
| Título: | Efficient fluorescence microscopy analysis over a volunteer grid/cloud infrastructure |
| Autor: | Da Silva, M.; Nesmachnow, S.; Geier, M.; Mocskos, E.; Angiolini, J.; Levi, V.; Cristobal, A.; Storti M.; Hernandez G.; Perez-Acle T.; Vazquez M.; Hernandez C.J.B.; Diaz G.; Garino C.G.; Nesmachnow S. |
| Filiación: | Universidad de la República, Uruguay Departamento de Computación, Universidad de Buenos Aires, Argentina Departamento de Química Biológica-IQUIBICEN, Universidad de Buenos Aires, Argentina Universidad Veracruzana, Mexico |
| Palabras clave: | Fluorescence analysis; Grid/cloud computing; Volunteer Computing; Algorithms; Bioinformatics; Computer simulation; Domain decomposition methods; Fluorescence; Fluorescence microscopy; Fluorescence spectroscopy; Middleware; Spectroscopic analysis; Domain decomposition techniques; Experimental evaluation; Fluorescence analysis; Fluorescence Correlation Spectroscopy; Grid/cloud computing; High performance computing; Quantitative information; Volunteer computing; Distributed computer systems |
| Año: | 2014 |
| Volumen: | 485 |
| Página de inicio: | 113 |
| Página de fin: | 127 |
| Título revista: | 1st High-Performance Computing Latin America Community, HPCLATAM-CLCAR 2014 and Latin American Joint Conference, CARLA 2014 |
| Título revista abreviado: | Commun. Comput. Info. Sci. |
| ISSN: | 18650929 |
| Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v485_n_p113_DaSilva |
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Citas:
---------- APA ----------
Da Silva, M., Nesmachnow, S., Geier, M., Mocskos, E., Angiolini, J., Levi, V., Cristobal, A.,..., Nesmachnow S. (2014) . Efficient fluorescence microscopy analysis over a volunteer grid/cloud infrastructure. 1st High-Performance Computing Latin America Community, HPCLATAM-CLCAR 2014 and Latin American Joint Conference, CARLA 2014, 485, 113-127.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v485_n_p113_DaSilva [ ]
---------- CHICAGO ----------
Da Silva, M., Nesmachnow, S., Geier, M., Mocskos, E., Angiolini, J., Levi, V., et al. "Efficient fluorescence microscopy analysis over a volunteer grid/cloud infrastructure" . 1st High-Performance Computing Latin America Community, HPCLATAM-CLCAR 2014 and Latin American Joint Conference, CARLA 2014 485 (2014) : 113-127.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v485_n_p113_DaSilva [ ]
---------- MLA ----------
Da Silva, M., Nesmachnow, S., Geier, M., Mocskos, E., Angiolini, J., Levi, V., et al. "Efficient fluorescence microscopy analysis over a volunteer grid/cloud infrastructure" . 1st High-Performance Computing Latin America Community, HPCLATAM-CLCAR 2014 and Latin American Joint Conference, CARLA 2014, vol. 485, 2014, pp. 113-127.Recuperado de https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v485_n_p113_DaSilva [ ]
---------- VANCOUVER ----------
Da Silva, M., Nesmachnow, S., Geier, M., Mocskos, E., Angiolini, J., Levi, V., et al. Efficient fluorescence microscopy analysis over a volunteer grid/cloud infrastructure. Commun. Comput. Info. Sci. 2014;485:113-127.Available from: https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_18650929_v485_n_p113_DaSilva [ ]
