Sure, data are data and algorithms are algorithms. What could be so hard? It's not rocket science, is it? The problem is that a 10% bump in data turns into double your software's execution time. You need novel solutions to that really complex logistics or scheduling problem, not more silicon.
What about using an algorithm that schedules observation time on the Hubble Space Telescope? Maybe, it is rocket science.
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