Efficient Fluorescence Microscopy Analysis over a Volunteer Grid/Cloud Infrastructure

M. DA SILVA; S. NESMACHNOW; M. GEIER; E. MOCSKOS; J. ANGIOLINI; V. LEVI; A. CRISTOBAL

Valparaíso

Conferencia; CARLA 2014 First HPCLATAM - CLCAR Joint Conference Latin American High Performance Computing Conference; 2014

Universidad Técnica Federico Santa María

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.