Raspberry SCI: An Inexpensive High Performance Computing Cluster for WRF Simulations within the Valparaiso University Meteorology Program
Arts and Sciences
An inexpensive high performance computing cluster constructed of Raspberry Pis is compared to a standard multi-core computer server that is capable of running the Weather Research and Forecasting (WRF) Model to simulate various weather phenomenon from severe weather outbreaks to high impact lake effect snow bands that blanket Valpo in snow. The initial idea for this project came from similar work being done at the National Center for Atmospheric Research (NCAR). Numerous Raspberry Pis, small inexpensive computers, are connected to each other, resulting in a total of 40 to 50 cores. The high computing power allows for substantial weather simulations to be completed. The Raspberry Pi cluster is then compared to a 15-core server to assess the effectiveness of running the WRF. The clock-time completion of the WRF simulations serve as a comparison between the two systems. This poster describes the variability of using the Raspberry Pi cluster for use in an educational setting and research within the meteorology program at Valparaiso University. We thank the University Guild for their funding that made this project possible.
Grover, Maxwell A.; Arseneau, Isaac; Goebbert, Kevin; Foust, Eliott; Wade, Terry; and Rosasco, Nick, "Raspberry SCI: An Inexpensive High Performance Computing Cluster for WRF Simulations within the Valparaiso University Meteorology Program" (2019). Symposium on Undergraduate Research and Creative Expression (SOURCE). 790.
For Artistic Presentations
wall poster with 8' table in front of it for their Raspberry Pi display.