# Parallel Matlab

You can explore GPU computing through Matlab if you think your program can benefit from massively parallel computations:

* [MATLAB GPU Computing Support for NVIDIA CUDA-Enabled GPUs](http://www.mathworks.com/discovery/matlab-gpu.html)

Finally, parallel computing features like `parfor` and `spmd` can be used by launching a pool of workers on a node.

{% hint style="info" %}
Note that the Parallel Computing Toolbox by itself cannot span across multiple nodes, so make sure you request only 1 node to avoid wasting resources.
{% endhint %}

* [Execute Loop Iterations in Parallel](http://www.mathworks.com/help/distcomp/parfor.html)
* [Run Single Programs on Multiple Data Sets](http://www.mathworks.com/help/distcomp/execute-simultaneously-on-multiple-data-sets.html)


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.ccv.brown.edu/oscar/matlab/parallel-matlab.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.