Getting Started with Parallel Computing Using MATLAB

1. Product Landscape 2:45
Use parallel computing tools on a multicore computer or a cluster of computers.

2. Prerequisites 2:02
Review hardware and product requirements for running the parallel programs demonstrated in this tutorial.

3. Quick Success Example 6:13
Speed up a simple program using a parallel for-loop.
Download associated code files

4. Parallel Computing Concepts 5:20
Review the concepts required to write and run parallel MATLAB programs.

5. What To Use: parfor or Jobs and Tasks? 3:21
Select the programming construct that is best suited for running your program in parallel.

6. Using parfor Loops 6:16
Use parfor-loops to run programs in parallel. Apply techniques to obtain maximum speedup.
Download associated code files

7. Working with Jobs and Tasks 9:50
Run programs in parallel using jobs and tasks. Obtain speedup and avoid common programming pitfalls.
Download associated code files

8. Working with Schedulers 5:13
Increase speedup further using schedulers to run parallel programs on clusters of computers.