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Found 3 results

  1. The Parallel For Loop is perfect for parallel processing of an input array, and reassembling the results in the correct order, however this only works if the array is available before the loop starts. There is no equivalent "Parallel While Loop" which might process a data stream - so what is the best architecture for doing this? In my case, I'm streaming image data from a camera via FPGA, acquiring 1MB every ~5ms - call this a "chunk" of data - and I know I will acquire N chunks (N could be 1000 or more). I then want to process (compress) this data before writing to disk. The compressi
  2. Hi all, I've been maintaining and improving a LabVIEW project which controls and automates a prototype microscope array for 2 years. I'm an engineering apprentice so I don't have that much experience with LabVIEW. The current framework of the project is a simple "Producer/Consumer" which has served well but is no longer future proof and scalable. I want to revamp the program which is quite big and complex. And I need help since this will be the first time of actually starting a real project from the ground up. The most modular and scalable framework I found was the QMH (Queued Mess
  3. Hi, I’m having issues with a LabVIEW application that I made. Quick summary: The application is used for reliability tests. Users can configure profiles/experiments. These are translated to a voltage/current output. Experiments can be started to run parallel on a rack of power supplies. More Details: The application is OO-based. Each active experiment is an ‘experiment executor’ object which is a class with an active object. The process vi is a very simple statemachine which handles init of the hardware (VISA (Powersupplies connected via Ethernet, VISA TCP/IP)), iteration
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