"Speeding Up MATLAB Applications" seminar will be held on Sept. 22 Professors, researchers, and students should take advantage of one of two free technical sessions that will demonstrate how you can write more efficient code in MATLAB(r) and introduce Parallel Computing with MATLAB. There will be two sessions held on Tuesday, Sept. 22. The same agenda will be presented at both: Session 1 - 8:30 to 10:45 a.m. - 210 Clifford Hall Session 2 - 2:15 to 4:30 p.m. - 204 Harrington Register at www.mathworks.com/seminars/und0909 Agenda - a.m. Session, Clifford Hall 210: Presenter: Brett Shoelson, Ph.D., MathWorks Application Engineer. 8:30 to 8:45 a.m. - Registration and sign-in 8:45 to 10:45 a.m. - Speeding Up MATLAB Applications: Tips and Tricks for Writing Efficient MATLAB Code Topics include: * Understanding pre- allocation and vectorization * Addressing bottlenecks * Efficient indexing and manipulations * JIT * Interpreter * Mex Brief Introduction to Parallel Computing with MATLAB * Task parallel applications for faster processing * Data parallel applications for handling large data sets * Scheduling your programs to run 10:45 Q&A Agenda - p.m. Session, Harrington 204: Presenter: Brett Shoelson, Ph.D., MathWorks Application Engineer. 2:15 to 2:30 p.m. - Registration and sign-in 2:30 to 4:30 p.m. - Speeding Up MATLAB Applications: Tips and Tricks for Writing Efficient MATLAB Code. Topics include: * Understanding pre- allocation and vectorization * Addressing bottlenecks * Efficient indexing and manipulations * JIT * Interpreter * Mex Brief Introduction to Parallel Computing with MATLAB * Task parallel applications for faster processing * Data parallel applications for handling large data sets * Scheduling your programs to run 4:30 - Q&A -- Ken Cleveland, Account Manager, Education Department, ken.cleveland@mathworks.com, 508-647-8005