Dr. Bormin Huang, Research Scientist and Principal Investigator, Space Science and Engineering Center
The Intel® Parallel Computing Center at the University of Wisconsin-Madison is working on boosting the performance of the Weather Research and Forecasting (WRF) model by adopting the Intel® Many Integrated Core Architecture (MIC) accelerator technology. The WRF is a next-generation numerical weather prediction system that serves atmospheric research and operational forecasting needs in more than 150 countries. It consists of dynamic and physics modules, with the physics modules processing information about cloud microphysics, cumulus, land-surface parameterization, radiation, turbulence, among others. The entire model has more than 600,000 lines of code making it time-consuming to run. The latest Intel® MIC accelerator technology shows promise for the needs of weather prediction.
The principal investigator Dr. Bormin Huang and the co-investigator Dr. Jarno Mielikainen are with the Space Science and Engineering Center (SSEC) at the University of Wisconsin-Madison. SSEC was founded in 1965 by Professor Verner E. Suomi, internationally recognized as the "father of weather satellite systems". SSEC is a multidisciplinary research and development center with primary focus on research and technology to enhance understanding of the atmosphere of Earth and the other planets in our solar system. SSEC consists of about 160 scientists, engineers, technicians, computer and software specialists, and general support staff. Approximately 40 graduate and undergraduate students also work on SSEC projects. SSEC continues to contribute to next-generation geostationary and polar orbiting weather satellites through software development, simulation analysis and instrument conceptualization.
There are many areas of study across the University that could benefit from the faster computational speeds that parallel computing can deliver. We are optimistic about the possibilities for new cross-disciplinary collaborations in the future.
- Sergi Siso, 6/28/2018, Performance optimization for modern many-core architectures using PSyclone embedded-DSL, IXPUG ISC Workshop 2018, Conference
- Melin Huang, Bormin Huang, and Allen H.-L.Huang, October 2014, Implementation of 5-Layer Thermal Diffusion Scheme in Weather Research and Forecasting Model with Intel Many Integrated Cores, SPIE
- Jarno Mielikainen, Bormin Huang, and Allen H.-L.Huang, October 2014, Intel Many Integrated Core (MIC) Architecture Optimization Strategies for a Memory-Bound Weather Research and Forecasting (WRF) Goddard Microphysics Scheme, SPIE
- Jarno Mielikainen, Bormin Huang, and Allen H.-L.Huang, October 2014, Optimizing zonal advection of the Advanced Research WRF (ARW) dynamics for Intel MIC, SPIE
- Melin Huang, Bormin Huang, and Allen H.-L.Huang, October 2014, Application of Intel Many Integrated Core (MIC) Architecture to the Yonsei University Planetary Boundary Layer Scheme in Weather Research and Forecasting Model, SPIE
- Jarno Mielikainen, Bormin Huang, and Allen H.-L.Huang, October 2014, Initial results on computational performance of Intel Many Integrated Core (MIC) architecture: implementation of the Weather and Research Forecasting (WRF) Purdue-Lin microphysics scheme, SPIE