Estimating the accuracy of user surveys for assessing the impact of HPC systems

Hart, D. L., Rishel, M., Nychka, D.. (2016). Estimating the accuracy of user surveys for assessing the impact of HPC systems. Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale, doi:https://doi.org/10.1145/2949550.2949640

Title Estimating the accuracy of user surveys for assessing the impact of HPC systems
Genre Article
Author(s) David L. Hart, M. Rishel, Douglas Nychka
Abstract Each year, the Computational & Information Systems Laboratory (CISL) conducts a survey of its current and recent user community to gather a number of metrics about the scientific impact and outcomes from the use of CISL's high-performance computing systems, particularly peer-reviewed publications. However, with a modest response rate and reliance on selfreporting by users, the accuracy of the survey is uncertain as is the degree of that uncertainty. To quantify this uncertainty, CISL undertook a project that attempted to provide statistically supported limits on the accuracy and precision of the survey approach. We discovered limitations related to the range of users' HPC usage in our modeling phase, and several methods were attempted to adjust the model to fit the usage data. The resulting statistical models leverage data about the HPC usage associated with survey invitees to quantify the degree to which the survey undercounts the relevant publications. A qualitative assessment of the collected publications aligns with the statistical models, reiterates the challenges associated with acknowledgment for use of HPC resources, and suggests ways to improve the survey results further.
Publication Title Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale
Publication Date Aug 1, 2016
Publisher's Version of Record https://doi.org/10.1145/2949550.2949640
OpenSky Citable URL https://n2t.org/ark:/85065/d7r2133m
OpenSky Listing View on OpenSky
CISL Affiliations OSD, USS

Back to our listing of publications.