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Sizing your Apocrita jobs for quicker results

At any one time, a typical HPC cluster is usually full. This is not such a bad thing, since it means the substantial investment is working hard for the money, rather than sitting idle. A less ideal situation is having to wait too long to get your research results. However, jobs are constantly starting and finishing, and many new jobs get run shortly after being added to the queue. If your resource requirements are rather niche, or very large, then you will be competing with other researchers for a more scarce resource. In any case, whatever sort of jobs you run, it is important to choose resources optimally, in order to get the best results. Using fewer cores, although increasing the eventual run time, may result in a much shorter queuing time.