About the CUDA Research Center at the Boise State University
Researchers at the GPU Research Center at Boise State University develop and apply advanced numerical methods and computational algorithms to applications in science and engineering where rapid and real-time computations can transform the current practice. Over the last three years, GPU computing with CUDA has tremendously advanced BSU research projects in numerical simulations of mantle convection, wind energy forecasting, remote sensing of snow depths for water resources, threat reduction in chemical and biological defense and DNA sequencing for forensics. PIs from four different departments have received external funding from National Science Foundation, NASA, NIH, Defense Threat Reduction Agency (DTRA), Idaho National Laboratory and private industry. BSU researchers have developed an operational GPU computing infrastructure to support these research activities and are in the process of extending the infrastructure further. Our goal is to broaden GPU computing in modeling and simulation within the State of Idaho.

About the co-PIs
Inanc Senocak is an assistant professor in the Department of Mechanical and Biomedical Engineering at the Boise State University. He received a B.S. in mechanical engineering from the Middle East Technical University in Turkey and a Ph.D. in aerospace engineering from the University of Florida. He has held postdoctoral research positions at the Los Alamos National Laboratory and Stanford University prior to joining the Boise State University. His research interests are in the areas of computational fluid dynamics, high performance computing, atmospheric transport and dispersion, numerical methods and cavitating two-phase flow modeling. He extensively uses GPU computing for rapid modeling of winds in complex terrain and urban environments with applications in renewable energy and homeland security.

Hans-Peter Marshall is an assistant professor in the Center for Geophysical Investigation of the Shallow Subsurface (CGISS) and the Department of Geosciences at Boise State University.  He received a B.S. in Physics from the University of Washington and a Ph.D. in Civil Engineering from the University of Colorado at Boulder.  His research involves quantifying the spatial variability of the seasonal snow cover and its effect on remote sensing measurements, snow hydrology, and snow avalanches.  He uses microwave radar from both ground-based and airborne platforms, combined with distributed, physically-based snowpack modeling to improve techniques for estimating snow properties at local to regional scales.

Grady B. Wright is an assistant professor in the Department of Mathematics at Boise State University.  He received a B.S. in mathematics from Westminster College and a M.S. and a Ph.D. in Applied Mathematics from the University of Colorado at Boulder.  Prior to joining Boise State University, he held positions as a NSF postdoctoral fellow at the University of Utah and as a visiting scientist at the National Center for Atmospheric Research.   Wright is an expert in numerical analysis and computational methods for partial differential equations. He has substantial experience with the development, analysis, and implementation of novel algorithms for a wide range of fluid dynamics applications, from geophysical flows (atmospheric and solid earth) to multiphase biological flows (gels).  Part of his current work concerns the development of efficient and accurate algorithms for simulating convection in the Earth’s mantle using GPUs.  

Tim Andersen is an associate professor in the Computer Science Department at Boise State University.  He received his Ph.D. in Computer Science in 1999 from Brigham Young University. His research interests include biologically inspired learning algorithms and computing mechanisms, such as artificial neural networks and genetic algorithms.  His lab is also currently working in the area of biological sequence analysis, and has developed software applications to track short K-mers in the known DNA and protein databases, and to assist in the analysis of proteins, and in the computational modeling of ligand-receptor interactions. 

Jodi Mead is a professor in the Mathematics Department at Boise State University.  She received her Ph.D. in Computational Mathematics in 1998 from Arizona State University.  She held a postdoctoral research position in the Oceanography Department at Oregon State University prior to joining Boise State University. Her research interests include inverse methods, numerical analysis, data assimilation, applied partial differential equations and how they relate to problems in hydrology, geophysics, oceanography and atmospheric sciences.