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Fast, efficient method of assigning large array of data to array of clusters?

I'm looking for a faster, more efficient method of assigning data gathered from a DAQ to its proper location in a large cluster containing arrays of subclusters.

My current method 1 relies heavily on the OpenG cluster manipulation tools, but with a large data-set the performance is far too slow.

The array and cluster location of each element of data from the DAQ is determined during an initialization phase and doesn't change during acquisition.

Because the data element origin and end points are the same throughout acquisition, I would think an array of memory locations could be created and the data directly assigned to its proper place. I'm just not sure how to implement such a thing.

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Solution

  • The following code does what you want:
    enter image description here
    For each of your cluster elements (AMC, ANLG_PM and PA) you should add a case in the string case structure, for the elements AMC and PA you will need to place a second case structure.