Accessing Grid Computing from Your Desktop for NLME

The performance and scalability of software and hardware always constrains a PK/PD modeler’s productivity. To improve performance of computationally intensive algorithms, Phoenix® NLME™ 7.0 jobs utilize parallel computing to take full advantage of computing resources.

In this webinar, we illustrated 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. We also shared some tips and tricks for non-linear mixed effects modeling.