MATLAB中进行并行计算.pdfVIP

Getting Started with Parallel Computing using MATLAB: Interactive and Scheduled Applications Created by S. Zaranek, E. Johnson and A. Chakravarti 1. Objectives This user guide provides an end user with instructions on how to get started running parallel MATLAB applications using a desktop computer or a cluster. 2. Assumptions User has access to MATLAB and Parallel Computing Toolbox on the desktop computer or head node of the cluster. If running on a cluster: MATLAB Distributed Computing Server has been installed by an administrator on the cluster. The desktop MATLAB client has been configured to connect to the cluster. If this has not been done, you should contact the cluster administrator. 3. Getting the Example Files Unzip the demoFiles.zip file that was provided along with this guide. You can add the files to the MATLAB path by running the addpath command in MATLAB. addpath location of files 4. Examples Running Locally In this section, you will be running and submitting job s using the local configuration. If your workflow will ultimately involve submitting jobs to a cluster, you can follow this section by switching the default configuration from local to that of your cluster and running these jobs again. This is described in Section 5. You can set the configuration to local, either at the command-line defaultParallelConfig(local) or by using the user interface found in the parallel menu. See screen snapshot below. For more information on configurations and programming with user configurations, see: /access/helpdesk/help/toolbox/distcomp/index.html?/a ccess/helpdesk/help/toolbox/distcomp/f5-16141.html#f5-16540 1. Using an Interactive MATLAB pool To interactively run your parallel code, you first need to open a MATLAB pool. This reserves a collection