EAS520: High Performance Scientific Computing

Spring 2013, Larts Room 218, 4:30 - 5:45 PM

Department of Mathematics, UMass Dartmouth

This course is one of graduate level courses offered by the Engineering and Applied Science PhD program at UMass Dartmouth. We will be covering selected popular topics in scientific computing as case studies such as embarrassingly parallel problems, matrix vector multiplication, system of linear equations solver, domain decomposition, particle methods, and Poisson solver. In order to tackle those case studies, students will learn parallel and distributed computing techniques, partitioning and load balancing, shared and distributed memory models, and message passing. This class is required for EAS majors (especially for those who specialize in computational math and scientific computing).

Place and Time: Room 218 Group I, 4:30 - 5:45 PM (Monday & Wednesday)