Cluster Computing for MATLAB Users
In this webinar you will learn how MATLAB Parallel Server™ works with Parallel Computing Toolbox™ to speed up MATLAB applications by using cluster computing hardware. You will learn how minimal changes to your code and workflow will allow you to take advantage of hardware beyond your desktop.
About the Presenter: Gerardo Hernandez holds a B.S in Physics from the University of Puerto Rico at Mayagüez and a M.S. in Applied Mathematics from the same institution. His area of research was the theory of distributions and inverse problems, in particular the identification of linear systems. In his master’s thesis “Identification of linear systems” Gerardo designed and implemented in MATLAB an, iterative, non-destructive method for retrieving the convolution kernel of linear systems.
Gerardo also holds a M.S in mechanical engineering from WPI and is currently completing the requirements for a PhD in mathematical sciences at the same institution. In his dissertation "An adaptive, multiresolution agent-based model of glioblastoma multiforme", Gerardo designed and implemented in MATLAB a multiresolution Agent-based model of the evolution of Brain tumors, in particular Glioblastoma multiforme.
His areas’ of interest include Numerical methods, in particular ODE and PDE solvers, Mathematical modeling, Dynamical systems and high performance computing, among others.
Prior to R2019a, MATLAB Parallel Server was called MATLAB Distributed Computing Server.
Recorded: 18 Jun 2014
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.