Please join MathWorks engineers for a free technical MATLAB seminar on Tuesday, December 6th. Here are the details:
Tuesday, December 6th
2:00 pm – 4:00 pm
442 Dana Research Center
Presenter: Sumit Tandon, MathWorks Application Engineer
Sumit graduated from University of Texas at Arlington in 2007 with a Masters in Electrical Engineering degree, majoring in computer vision and computer graphics. His technical interests are scientific visualization, embedded systems and parallel computing.
In this session we will demonstrate how to perform parallel and distributed computing in MATLAB to boost execution speed on computationally intensive problems, including how to handle larger data sets. We will highlight our add-on tools that offer built-in ability to take advantage of parallel computing resources without requiring any extra coding. We will introduce you to parallel processing constructs such as parallel for-loops, distributed arrays, and message-passing functions. We will also show you how to take advantage of common trends in computer hardware, from multiprocessor machines, GPUs, to computer clusters.
This session will cover:
• Toolboxes with built-in support for parallel computing
• Go faster: Use larger compute pool
• Work with larger data sets: Use larger memory pool
• Scale up to a cluster: Interactive to scheduled jobs
• Use GPUs to speed up computation