In this example we see how to use callback functions in the Parallel Computing Toolbox™ to notify us when a task has completed and to update graphics when task results are available. We also see
Use the parallel profiler. It is intended to be a quick-start guide to using the parallel profiler graphical user interface (GUI) and its basic commands. Links are provided to the other
The Parallel Computing Toolbox™ enables us to execute our MATLAB® programs on a cluster of computers. In this example, we look at how to divide a large collection of MATLAB operations into
In this example, we look at two common cases when we might want to write a wrapper function for the Parallel Computing Toolbox™. Those wrapper functions will be our task functions and will
In this example, we look at the gop function and the functions that build on it: gplus and gcat. These seemingly simple functions turn out to be very powerful tools in parallel programming.
In this example, we look at how we can reduce the run time of our jobs in the Parallel Computing Toolbox™ by minimizing the network traffic. It is likely that the network bandwidth is severely