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Vectorized Task Creation
The createTask function can now create a vector of tasks in a single call when you
provide a cell array of cell arrays for input arguments. For full details, see the createTask
reference page.
Compatibility Considerations
In previous versions of the distributed computing products, if your task function had an
input argument that was a cell array of cell arrays, your code will need to be modified to
run the same way in this release.
For example, your old code may have been written as follows so that the function myfun
gets four cell array input arguments:
createTask(j, @myfun, 1, {{C1} {C2} {C3} {C4}})
In this new version, the same code will produce four tasks. To get the old functionality,
you must wrap the four cell arrays in another cell array, so that createTask knows to
create only one task.
createTask(j, @myfun, 1, { {{C1} {C2} {C3} {C4}} })
Additional Submit and Decode Scripts
There are several submit and decode functions provided with the toolbox for your use
with the generic scheduler interface. These files are in the directory
matlabroot/toolbox/distcomp/examples/integration
This version of the toolbox includes new subdirectories for Platform LSF and PBS, to
support network configurations in which the client and worker computers do not share
a file system. For more information, see Supplied Submit and Decode Functions in the
Distributed Computing Toolbox documentation.
Jobs Property of Job Manager Sorts Jobs by ID
The Jobs property of a job manager object now contains the jobs in the order in which
they were created, as indicated by the ID property of each job. Similarly, the findJob
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- Version: 6.6 15
- Version: 6.5 21
- Version: 6.4 27
- Version: 6.3 33
- Upgraded MPICH2 Version 41
- Version: 6.2 43
- Version: 6.1 47
- Version: 6.0 53
- New Programming Interface 54
- parallel.cluster.LSF 55
- Cluster Profiles 60
- Enhanced GPU Support 62
- Version: 5.2 67
- New Job Monitor 68
- Task Error Properties Updated 72
- Version: 5.1 75
- Deployment of Local Workers 76
- Distributed Array Support 78
- Enhanced parfor Support 78
- Enhanced Admin Center Support 79
- Version: 5.0 81
- GPU Computing 82
- Version: 4.3 87
- Demo Updates 89
- Version: 4.2 91
- New Distributed Arrays 92
- Enhancements to Admin Center 94
- Version: 4.1 97
- New Benchmarking Demos 99
- Version: 4.0 101
- New Features 101
- Bug Fixes 101
- Compatibility Considerations 101
- Applications 102
- Composite Objects 103
- Configuration Validation 103
- Rerunning Failed Tasks 103
- Version: 3.3 107
- New batch Function 108
- Increased Data Size Transfers 108
- Version: 3.2 113
- Default Configuration 115
- Parallel Profiler 115
- Version: 3.1 117
- Local Scheduler and Workers 118
- New pmode Interface 118
- Vectorized Task Creation 119
- New Object Display Format 120
- Enhanced MATLAB Functions 120
- Version: 3.0 123
- Windows 64 Support 124
- Parallel Job Enhancements 124
- Distributed Arrays 124
- Moved MDCE Control Scripts 125
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