Minnesota Supercomputer Institute

MSI Seed Grants

Earlier this year MSI initiated a program for providing seed grants for research projects that involve high-performance computing and solicited proposals for grants to be awarded in 2008-2009.

Proposals were encouraged in areas including, but not limited to, algorithms, applications, system software, system architectures, and issues of scaling to thousands of processors. The proposals chosen to receive funding were those assessed to have the greatest technical quality, level of interdisciplinary cooperation, potential to attract external funding, and potential for increasing the visibility of high-performance computing at the University of Minnesota.

Twenty-four proposals were submitted. Of these, six were chosen for funding. The funded projects for 2008-2009 are the following:

PI : Matteo Cococcioni, Chemical Engineering and Materials Science
Efficient coupling of ab-initio and bifurcation techniques for structural transformations in Transition-Metal materials
PI: Yang Da, Animal Science
Parallel computing software for epistasis testing in genome-wide association analysis
PI: Jeffrey J. Derby, Chemical Engineering and Materials Science
Advancing crystal growth simulations via computational science
PI: Sean C. Garrick, Mechanical Engineering
A dynamic CFD-KMC approach for the simulation of turbulent multiphase reacting flows
PI: Sang-Hyun Oh, Electrical and Computer Engineering
3-D finite-difference time domain (FDTD) simulations to design nanohole SPR biosensors for systems biology
PI: J. Ilja Siepmann, Chemistry
An integrated computational and experimental approach to a molecular-level understanding of complex atmospheric nucleation processes

For more information, please refer to the call for proposals or contact Barbara Opal.