Courses: Advanced Topics: High Performance Scientific Computing (CMSCH392A01)

Fall 2007

Introduction to parallel computing with particular attention to applications in the natural sciences and economics: architectures, shared vs. distributed memory, SPMD, pipelining, granularity and locality, interprocess communication, performance issues, dependability; lab work using MPI or PVM.

Prerequisites: Computer Science 206 required; 240 and 355 recommended; or permission of instructor

Fulfills: NA


Haverford, Hlls 110

Meeting Times

MWF 11:30-12:30