Recently, a team of faculty and researchers fromClimate & Space and the U-M's Advanced Research Computing-Technology Services (ARC-TS) set out to determine whether using cloud computing systems could make it easier to run climate models. The results of this study will be published in a paper featured in the January, 2017 issue (vol. 98) of Computers & Geoscience.
CLaSP Assistant Research Scientist Xiuhong Chen and Professor Xianglei Huang, who is affiliated with the Michigan Institute for Computational Discovery and Engineering (MICDE), teamed up with co-authors Dr. Chaoyi Jiao and Professor Mark Flanner, also in CLASP, as well as ARC-TS Associate Director for Advanced Computing, Brock Palen and his colleague, Dr. Todd Raeker in comparing the reliability and efficiency of Amazon’s Web Service – Elastic Compute 2 (AWS EC2) with U-M’s Flux high performance computing (HPC) cluster in running the Community Earth System Model (CESM), a standard climate model developed by the National Center for Atmospheric Research.
Dr. Mariana Carrasco-Teja, Assistant Director of MICDE, provides a more in-depth look at the study here.