MATLAB Examples

Is derived from Gerard Schuster's MATLAB example and book Seismic Interferometry

These are the files used in the webinar on Feb. 23, 2011. This file provides a brief description of the contents of the demo files and the steps needed to download the public data sources for use

This file demonstrates how to use the Par class object to time the execution time of each PARFOR loop. Here are the steps.

In parallel computing, communication between workers extracts a heavy cost and therefore a rule of thumb is to keep processing local. But certain array operations, such as averaging over a

This example was authored by the MathWorks community.

This demo calculates returns the risk-return relationship in the stock portfolio that is optimal in the mean-variance sense. covMat and expRet are the covariance and mean returns of a

A MATLAB application from the field of systems biology was chosen for experimental runs. The application was created using SimBiology® which extends MATLAB® with functionality for

Looks at how we can benchmark the solving of a linear system on the GPU. The MATLAB® code to solve for x in A*x = b is very simple. Most frequently, we use matrix left division, also known as

Benchmark solving a linear system on a cluster. The MATLAB® code to solve for x in A*x = b is very simple. Most frequently, one uses matrix left division, also known as mldivide or the backslash

In this example, we show how to benchmark an application using independent jobs on the cluster, and we analyze the results in some detail. In particular, we:

Runs a MATLAB® benchmark that has been modified for the Parallel Computing Toolbox™ and executes it on the client machine. Fluctuations of 5 or 10 percent in the measured times of repeated

Looks at why it is so hard to give a concrete answer to the question "How will my (parallel) application perform on my multi-core machine or on my cluster?" The answer most commonly given is "It

Runs a MATLAB® benchmark that has been modified for Parallel Computing Toolbox™. We execute the benchmark on our workers to determine the relative speeds of the machines on our distributed

How arrayfun can be used to run a MATLAB® function natively on the GPU. When the MATLAB function contains many element-wise operations, arrayfun can provide improved performance when

Use pagefun to improve the performance of applying a large number of independent rotations and translations to objects in a 3-D environment. This is typical of a range of problems which

Uses Conway's "Game of Life" to demonstrate how stencil operations can be performed using a GPU.

Uses Parallel Computing Toolbox™ to perform a two-dimensional Fast Fourier Transform (FFT) on a GPU. The two-dimensional Fourier transform is used in optics to calculate far-field

Measure some of the key performance characteristics of a GPU.

Uses Parallel Computing Toolbox™ to perform a Fast Fourier Transform (FFT) on a GPU. A common use of FFTs is to find the frequency components of a signal buried in a noisy time-domain signal.

Switch between the different random number generators that are supported on the GPU and examines the performance of each of them.

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