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Maybe I misunderstood, and what you posted is just an example. Anyway, that example shows that the different calculations and sub Vis are run serially, because of data dependency, so I would "streamline" the VIs and use "in place element" structures if possible (and of course for loops with auto-indexing/deindexing). In your example there would be no large data copies at all: "Calc DZPV" (modified so data in passes through) then "Cal S and wa" (modified so data in passes through) then "in place element" structure to index the data, and inside the structure anotheer "in place element" structure to adress the cluster elements you want to change. If the subVIs can be inlined theres no data copy of the whole data in array. Maybe you don't even have to inline the subVIs because the optimizer can optimize away the data copies when passing data to the subVIs, I have no knowledge about these stuff.

I've setup a number of labs, including the test automation. In my previous couple labs I based the automation on LabVIEW. I enjoy programming in LabVIEW and have become quite proficient at it. Unfortunately, my junior engineers and design engineers can't seem to get used to it. The only reason they used it is because I forced them to. I am going to start a new lab, and I was researching if I should use LabVIEW or... something else. That's when I found out NI has gone to subscription only. My company probably doesn't mind, but I do. It is a sign that LabVIEW is on its way out and that NI has gone completely to the dark side. I can program in Python, but I don't really want to go to Python for the reasons that have already been mentioned by others in this thread. So, plan "B". But there is no plan "B", which is very unfortunate. I know what I want my automation software to do and look like, but it does not exist. I'm not sure I'm up to the task of making my own, so I guess I'm stuck with going to Python, unless NI suddenly changes course.

I can amortize 20,000$ one time license costs, I can't amortize 500$/ month subscription. Python seems more attractive every day.