Data Analysis, Parallel & GPU Computing with MATLAB

Register at mathworks.com/seminars/Duke2012 Part 1: Data Analysis with MATLAB MathWorks engineers will provide an overview of MATLAB through live demonstrations, examples, and user testimonials, showing how you can use MATLAB and related toolboxes to: ¿ Access data from many sources (files, other software, hardware, etc.) ¿ Use interactive tools for iterative exploration, design, and problem solving ¿ Automate and capture your work in easy-to-write scripts and programs ¿ Share your results with others by automatically creating reports ¿ Build and deploy GUI-based applications Part Two: Parallel Computing with MATLAB In this session, you will learn how to solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. We will introduce you to high-level programming constructs that allow you to parallelize MATLAB applications without CUDA or MPI programming and run them on multiple processors. We will also show you how to overcome the memory limits of your desktop computer and solve problems that require manipulating very large matrices by distributing your data. Highlights 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 algorithms