Introduction to high performance computing, including computing architectures, parallel computing paradigms, and programming languages and libraries. Students should have experience in numerical analysis or numerical methods (e.g. MTH 437/438, or PHY 505/506), and programming skills in C, C++, or Fortran. (For example, students are expected to know how to translate ∆u=f into a matrix system on a finite difference grid.) There is no required textbook. Students will be assigned journal articles and web-accessible papers. Grades based on: written homework and homework programming exercises, one mini-project and one extensive project, and two short papers. Students may discuss their approach to homework and projects with colleagues. However all submitted work must be the student’s own. Plagiarism – on written work or programming – will earn you an F in the course and place your academic standing in jeopardy.