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Relying vast HPC investments on informed decision making is important when serving the ever increasing demands for computational power. To compare and evaluate HPC systems in procurement processes, I define a productivity model that focuses on the number of simulation application runs and the total cost of ownership (TCO). As part of TCO, I setup a methodology to estimate software development costs with respect to HPC-related efforts. I provide proof of concepts based on real-world HPC setups.

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