Estimating the accuracy of user surveys for assessing the impact of HPC systems [poster]

AMS Citation:
Rishel, M., D. L. Hart, and D. Nychka, 2015: Estimating the accuracy of user surveys for assessing the impact of HPC systems [poster]. RMACC High Performance Computing Symposium 2015, Boulder, CO, US.
Date:2015-08-12
Resource Type:conference material
Title:Estimating the accuracy of user surveys for assessing the impact of HPC systems [poster]
Abstract: NCAR's Computational & Information Systems Laboratory (CISL) operates supercomputing, data storage and archive systems that support more than a thousand users each year. These users pursue science objectives in the areas of climate, atmospheric sciences, and related areas. Each year CISL conducts a survey of current and recent HPC system users to collect publications information to help describe the scientific impact of CISL resources. In this project, we attempted to answer two primary questions. Q1: How well does CISL's annual survey capture the actual number of publications published by the HPC users, based on the research of sampled users? Q2: What are the error bounds on the total number of publications in the previous fiscal year, as measured from sampled users?
Peer Review:Non-refereed
Copyright Information:Copyright Author(s). This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
OpenSky citable URL: ark:/85065/d70g3j6d
Author(s):
  • Melissa Rishel - NCAR/UCAR
  • Dave Hart - NCAR/UCAR
  • Doug Nychka - NCAR/UCAR
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