Introduction to MPI, Part One

On contemporary computers, speeding up computations is most often achieved by employing multiprocessors concurrently on shared‐memory multi‐cored nodes or multiprocessor distributed‐memory clusters. MPI is a library of communication functions to enable and enhance multiprocessing on these computer architectures. This tutorial introduces many of the basic MPI functions through practical examples. Working knowledge of C or Fortran is required to attend the course. Basic knowledge of Unix/Linux will be helpful.  MPI Part Two is a sequel to MPI Part One while MPI Part Three is a hands-on practice session for both MPI Part One and Part Two.

If you try to sign up for this tutorial and find that it is full, please send email to scv-tutorial@bu.edu and we will do our best to accomodate you.

Kadin Tseng, IS&T Scientific Computing & Visualization
Tuesday, September 24, 2013 from 10:00 AM to 12:00 PM
Charles River Campus - MCS Information Services & Technology room B27 (111 Cummington Mall)