MATLAB Workshop at Univ. of Oklahoma and via videoconferencingMorning: Data Analysis with MATLAB (no previous MATLAB experience needed)Afternoon: Parallel Computing with MATLABWHEN: Tue Feb 28 2012, 10:00-11:30am and 1:00-3:30pm Central TimeWHERE: University of Oklahoma, Stephenson Research & Technology CenterCOST: *FREE*SESSION I: Data Analysis with MATLAB(No previous MATLAB experience needed)9:45-10:00am Central Time: Registration and check-in10:00-11:30am Central Time: Data Analysis with MATALBEngineers, scientists, and data analysts worldwide use MATLAB toaccelerate research and to reduce analysis and development time.Attend this seminar to find out how you and your colleagues canuse MATLAB and its add-on products to analyze your data moreeffectively and to overcome some of the limitations you face whenusing spreadsheets for data analysis.We will provide an overview of MATLAB through live demonstrationsshowing how to:* Access data from many sources (files, other software, hardware,etc.)* Use interactive tools for iterative exploration, design, andproblem solving* Automate and capture your work in easy-to-write scripts andprograms* Share your results with others by automatically creating reports.No previous MATLAB experience is needed for Session I.SESSION II: Parallel Computing with MATLABPrerequisite: Session I, or equivalent MATLAB experience12:45-1:00pm Central Time: Registration and check-in1:00-3:30pm Central Time: Parallel Computing with MATLABIn this session, you will learn how to solve computationally anddata-intensive problems using multicore processors, GPUs andcomputer clusters.We will introduce you to high-level programming constructs thatallow you to parallelize MATLAB applications without CUDA or MPIprogramming and to run them on multiple processors.We will also show you how to overcome the memory limits of yourdesktop computer and to solve problems that require manipulatingvery large matrices by distributing your data.Highlights will include:* Toolboxes with built-in support for parallel computing* Creating parallel applications to speed up independent tasks* Programming with distributed arrays to work with large data sets* Scaling up to computer clusters, grid environments, or clouds* Tips on developing parallel algorithmsSpecial add-on session:A representative from OU will offer information for OU MATLABusers who are interested in running MATLAB jobs on OU’ssupercomputing resources.PRESENTER BIOGRAPHYGerardo Hernandez Correa holds a BS in Physics and an MS in AppliedMathematics from the University of Puerto Rico at Mayagüez, and anMS in Mechanical Engineering from Worcester Polytechnic Insititute(WPI). He is currently completing the requirements for a PhD inMathematical Sciences, also at WPI.At UPRM, his area of research was the theory of distributions andinverse problems, in particular the identification of linearsystems. In his MS thesis, “Identification of Linear Systems,”Gerardo designed and implemented in MATLAB an iterative,non-destructive method for retrieving the convolution kernel oflinear systems.At WPI, in his dissertation, “An Adaptive, MultiresolutionAgent-based Model of Glioblastoma Multiforme”, Gerardo designed andimplemented in MATLAB a multi-resolution agent-based model of theevolution of brain tumors, in particular Glioblastoma multiforme.Gerardo’s areas of interest include numerical methods — inparticular Ordinary and Partial Differential Equation solvers –as well as mathematical modeling, dynamical systems and highperformance computing, among others.