SC15 Austin, TX

Quantifying Productivity - Towards Development Effort Estimation in HPC


Authors: Sandra Wienke (RWTH Aachen University), Tim Cramer (RWTH Aachen University), Matthias S. Müller (RWTH Aachen University), Martin Schulz (Lawrence Livermore National Laboratory)

Abstract: With increasing expenses for future HPC centers, the need to look at their productivity, defined as amount of science per total cost of ownership (TCO), grows. This includes development costs which arise from development effort spent to parallelize, tune or port an application to a certain architecture. Development effort estimation is popular in software engineering, but cannot be applied directly to (non-commercial) HPC setups due to their particular target of performance. In our work-in-progress, we illustrate a methodology to qualify and quantify development effort parameters and hence how to estimate development effort and productivity. Here, the main challenge is to account for the numerous impact factors on development effort. We show preliminary results for two case studies: Questionnaires reveal development effort parameters with high impact and statistical tests help us to derive further details (here: comparing programming models). Additionally, we provide an online survey to engage the HPC community.

Poster: pdf
Two-page extended abstract: pdf


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