October MATLAB tutorial will focus on optimizing performance
September 25, 2012
A three-part tutorial covering MATLAB, particularly as it relates to parallel programming and high-performance computing, will take place from 2 to 8 p.m. Thursday, Oct. 11, in the Lawson Computer Science Building, Room 1142.
Faculty, staff and students interested in learning more about MATLAB are welcome to attend the free event, which will focus on optimization techniques users can employ to get the best performance when running their jobs. Some previous MATLAB experience might be helpful but isn’t required.
Registration also will be held from 2-2:30 p.m. the day of the event. Walk-ins are welcome.
The tutorial sessions include:
Optimizing performance and memory in MATLAB, 2:30-5 p.m. The focus will be on techniques to improve the performance of MATLAB programs and best coding practices for producing efficient MATLAB code.
- Pizza break, 5-5:30 p.m.
- Parallel programming with MATLAB, including multicore processors, graphics processing units (GPUs) and high-performance computing clusters, 5:30-7:30 p.m. The session will be helpful for users who want to run MATLAB on Purdue’s Community Cluster Program supercomputers and on DiaGrid, the Purdue-based distributed computing system.
- Generating C and C++ code from MATLAB programs, which allows for stand-alone execution and can accelerate algorithms, 7:30-8 p.m. The tutorial is sponsored by ITaP’s research computing unit the Rosen Center for Advanced Computing and by MathWorks.
For more information, email firstname.lastname@example.org.