The NIH/NIGMS
Center for Integrative Biomedical Computing

Numerical simulation of real-world phenomena provides fertile ground for building interdisciplinary relationships. The SCI Institute has a long tradition of building these relationships in a win-win fashion – a win for the theoretical and algorithmic development of numerical modeling and simulation techniques and a win for the discipline-specific science of interest. High-order and adaptive methods, uncertainty quantification, complexity analysis, and parallelization are just some of the topics being investigated by SCI faculty. These areas of computing are being applied to a wide variety of engineering applications ranging from fluid mechanics and solid mechanics to bioelectricity.

Martin Berzins Parallel Computing GPUs	Mike Kirby Finite Element Methods Uncertainty Quantification GPUs	Valerio Pascucci Scientific Data Management	Chris Johnson Problem Solving Environments
Ross Whitaker GPUs	Chuck Hansen GPUs

Scientific Computing Project Sites:

• Uncertainty Quantification and Visualization
• NVIDIA CUDA Center of Excellence

Publications in Scientific Computing:

test