Summary of fundamentals and main findings of the ongoing multi-phase work by the Scientific Computing Group at NRAO. The main goal is to characterize the execution of the pipelines with respect to computing resources. Our expectation is that this work will help ALMA ARCs have a deeper understanding of the computational cost of data processing jobs, while providing developers an additional tool to help track specific areas where CASA can be made more resource efficient.
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Data measured by the profiling framework
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