INVESTIGADORES
MOCSKOS Esteban Eduardo
capítulos de libros
Título:
Efficient Fluorescence Microscopy Analysis over a Volunteer Grid/Cloud Infrastructure
Autor/es:
M. DA SILVA; S. NESMACHNOW; M. GEIER; E. MOCSKOS; J. ANGIOLINI; V. LEVI; A. CRISTOBAL
Libro:
High Performance Computing
Editorial:
Springer
Referencias:
Lugar: Berlín; Año: 2014; p. 113 - 127
Resumen:
Abstract. This work presents a distributed computing algorithm overvolunteer grid/cloud computing systems for Fluorescence CorrelationSpectroscopy, a computational biology technique for obtaining quanti-tative information about the motion of molecules in living cells. Highperformance computing is needed to cope with large computing timeswhen performing complex simulations, and volunteer grid/cloud com-puting emerges as a powerful paradigm to solve this kind of problemsby coordinately using many computing resources distributed around theworld. 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.
