Comparison of matrix FPGA by element wierdness

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  I am looking to unload data so quickly that possible between a host application and a target FPGA VI, but these two options seem to be sometimes used in the LabVIEW help documents and white papers.  I understand the DMA from the computer point of view works and I would use this approach because it is the fastest (I need a very fast data acquisition system).

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  Basically, the calculation, I tried to do is called "dividing element by element". It is a transaction between two matrices with few passes and lines. The result matrix also has the same demension and each element is obtained by dividing the element with the same index in a matrix of the element with the index even in a different matrix. for examlpe,.

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  Howdy do.

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  What about under the name of multithreading - the same thread can run on multiple cores, but everything in a timed loop will always hold in a single thread.  For reference (see 'Set the execution order for screws of real-time synchronization'):

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  Best regards

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  I don't quite know librares for the execution of complex matrix inversion.

  There are two ways I used for the development of own implenetations. Both methods involve the decomposition of the matrix A through rotation matricies.

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