Reading course for graduate students in computer science. May be repeated to a maximum of nine credits for doctoral students. May be repeated to a maximum of six credits for master's students.

Reading course for graduate students in computer science. May be repeated to a maximum of nine credits for doctoral students. May be repeated to a maximum of six credits for master's students.

Reading course for graduate students in computer science. May be repeated to a maximum of nine credits for doctoral students. May be repeated to a maximum of six credits for master's students.

Reading course for graduate students in computer science. May be repeated to a maximum of nine credits for doctoral students. May be repeated to a maximum of six credits for master's students.

Reading course for graduate students in computer science. May be repeated to a maximum of nine credits for doctoral students. May be repeated to a maximum of six credits for master's students.

Reading course for graduate students in computer science. May be repeated to a maximum of nine credits for doctoral students. May be repeated to a maximum of six credits for master's students.

Reading course for graduate students in computer science. May be repeated to a maximum of nine credits for doctoral students. May be repeated to a maximum of six credits for master's students.

Reading course for graduate students in computer science. May be repeated to a maximum of nine credits for doctoral students. May be repeated to a maximum of six credits for master's students.

Reading course for graduate students in computer science. May be repeated to a maximum of nine credits for doctoral students. May be repeated to a maximum of six credits for master's students.

This course provides graduate students in computer science and in other fields of science and engineering with experience of parallel and distributed computing. It gives an overview of parallel and distributed computers, and parallel computation. The course addresses architectures, languages, environments, communications, and parallel programming. Emphasis on understanding parallel and distributed computers and portable parallel programming with MPI.