Parallel Computing Toolbox™ 3.3
Product Description
- Parallel Computing Toolbox Key Features
- Programming Task-Parallel Applications
- Programming Data-Parallel Applications
- Working in an Interactive Parallel Environment
- Working in a Batch Environment
- Scaling to a Cluster Using MATLAB® Distributed Computing Server™
Working in a Batch Environment
Parallel Computing Toolbox lets you use batch environments that provide an offline mode of execution. This lets you free your MATLAB client session for other activities while you execute large MATLAB and Simulink applications. You can also shut down your MATLAB client session while your application executes and retrieve results later.
The batch function lets you execute MATLAB scripts offline, including those containing parfor-loops, and also provides a mechanism for data transfer between client and worker workspaces. It serves the dual role of providing a mechanism for execution of task parallel applications and offloading serial program execution onto MATLAB workers.
The toolbox also provides job and task objects. These objects provide a lower level but more general mechanism to execute both data-parallel and task-parallel applications, as well as to offload serial program execution in batch environments.
| Executing MATLAB® scripts offline using the |
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