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.
