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| Contents | Index |
| Learn more about Parallel Computing Toolbox |
This table summarizes what is new in Version 4.1 (R2009a):
| New Features and Changes | Version Compatibility Considerations | Fixed Bugs and Known Problems | Related Documentation at Web Site |
|---|---|---|---|
Yes | Yes — Details labeled as Compatibility Considerations, below. See also Summary. | Bug
Reports | No |
New features and changes introduced in this version are
You can now run up to eight local workers on your MATLAB client machine. If you do not specify the number of local workers in a command or configuration, the default number of local workers is determined by the value of the local scheduler's ClusterSize property, which by default is equal to the number of computational cores on the client machine.
In previous versions, the default number of local workers was four, regardless of the number of cores. If you want to run more local workers than cores (for example, four workers with only one or two cores), you must set the value of ClusterSize equal to or greater than the number of workers you need. Then you can specify the increased number of workers in the appropriate command or configuration, or let your ClusterSize setting control the default number of workers.
When using the MathWorks job manager, the Admin Center GUI now allows you to start, stop, and otherwise control job managers and MATLAB workers on your cluster nodes. For more information about Admin Center, see Admin Center in the MATLAB Distributed Computing Server documentation.
You can no longer start Admin Center from the MATLAB Desktop Parallel pull-down menu. You must start Admin Center from outside MATLAB by executing the following:
matlabroot/toolbox/distcomp/bin/admincenter (on UNIX® operating systems)
matlabroot\toolbox\distcomp\bin\admincenter.bat (on Microsoft® Windows® operating systems)
The parallel computing products now support Microsoft Windows HPC Server 2008 (CCS v2), including service-oriented architecture (SOA) job submissions. There is no change to the programming interface for ccs options, other than the addition of a new CCS scheduler object property, UseSOAJobSubmission. For implications to the installation of the MATLAB Distributed Computing Server, see the online installation instructions at http://www.mathworks.com/distconfig.
New benchmarking demos for Parallel Computing Toolbox can help you understand and evaluate performance of the parallel computing products. You can access these demos in the Help Browser under the Parallel Computing Toolbox node: expand the nodes for Demos then Benchmarks.
In R2008b, distributed array syntax was updated for codistributed arrays. In that release, the old form of the syntax still worked, but generated a warning. Now in R2009a, the old forms of the syntax no longer work and generate an error. For a summary of the syntax updates, see Changed Function Names for Codistributed Arrays.
For availability of Platform LSF® support on Macintosh® OS X 10.5.x, contact Platform Computing Corporation via their Web site at http://www.platform.com/Products/platform-lsf/technical-information. If Platform Computing does not support LSF on Mac OS X 10.5.x, then Parallel Computing Toolbox and MATLAB Distributed Computing Server cannot support this combination.
 | Version 4.2 (R2009b) Parallel Computing Toolbox Software | Version 4.0 (R2008b) Parallel Computing Toolbox Software |  |
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