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)