Parallel Computing for Long-Time Simulations of Calcium Waves in a Heart Cell Dr. Matthias Gobbert
UMBC/Math Parallel computing can fascilitate both solving larger problems and solving them faster than possible on a serial computer. This has the potential for new discoveries in many subject areas and highlights the opportunities arising from using state-of-the-art computational hardware and software. The numerical simulation for a model of calcium waves in a heart cell serves as example for the power of parallel computing to enable the faster solution of larger problems. Using this prototypical example, I will explain the ideas and considerations in the creation of the UMBC High Performance Computing Facility (www.umbc.edu/hpcf), the community-based, interdisciplinary core facility for scientific computing and research on parallel algorithms at UMBC. There will be plenty of time throughout the talk to discuss with the audience the hardware, software, structure, and user support in HPCF, and how researchers at UMBC can participate.