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Accessing Grid Computing from Your Desktop for NLME

January 25, 2017 – To improve performance of computationally intensive algorithms, Phoenix NLME jobs utilize parallel computing to take full advantage of computing resources. In this webinar, we will illustrate how parallel computing reduces analysis time and demonstrate how easy it is to submit jobs to Torque/SGE grids running on physical Linux and Amazon EC2 cloud.

Speaker(s): Fred Soltanshahi, Michael Tomashevskiy, Serge Guzy
Solution: Biosimulation, PK/PD Modeling & Simulation
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