Scientific Computing

Evan Bollig
Former Graduate Student
Evan Bollig
Latest Contact Info:
Research Interests:

Single and multi-GPU algorithms for numerical PDE solutions. GPU algorithms for grid generation and optimal node placement.
Education:

PhD, Computational Science, Florida State University, 2013
MS, Computational Science, Florida State University, 2009
BA, German Studies, University of Minnesota Twin Cities, 2006
Address:
Senior Scientific Computing Consultant at Minnesota Supercomputing Institute
Social Media:

View Evan's LinkedIn Profile

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