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File Exchange Pick of the Week

November 20th, 2006

Speed your code with Distributed Computing

I am frequently asked how to speed up code that was written in MATLAB. We have already covered using the profiler in a video a few weeks ago, so now we turn to throwing more computer power at the problem by using Distributed Computing Toolbox. This video shows how to take code that is essentially a for loop calling the same function over and over again and turning it into something that will run on a compute cluster.

Posted by Doug Hull

9:52 am | Posted in Video | Permalink |

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Bob, Brett & Jiro share their favorite user-contributed submissions from the File Exchange.

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  • Doug: Gamal, That is something that can be done. Do you have the Data Acquisition toolbox? What have you tried, can...
  • Gamal: Dear Sir, I am working in a project that i use an Analogue to digital converter HW to transfer analogue...
  • Berdakh Abibullaev: Great! This is very convinient to use. But I use matlab codes for opening the data and...
  • jiro: Mahmood, It’s probably best to ask the author of the tool for specific questions regarding the...
  • Mahmood: Hi there, when I run this program application, it gives me the following error ??? Error using ==>...
  • Brett: Hi M, Back from vacation…just downloaded DEMORSE, and ran it on the WAV file I created for this post....
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