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18.337J / 6.338J Applied Parallel Computing (SMA 5505), Spring 2003

Photo of Typical Parallel Computers.
The photo represents an example of parallel computing. The Beowulf project consists of one frontend and nine computers, resulting in high computing performance. (Photo courtesy of Prof. Alan Edelman.)

Highlights of this Course

This course features lecture notes and student projects.

Course Description

Applied Parallel Computing is an advanced interdisciplinary introduction to modern scientific computing on parallel supercomputers. Numerical topics include dense and sparse linear algebra, N-body problems, and Fourier transforms. Geometrical topics include partitioning and mesh generation. Other topics include architectures and software systems with hands-on emphasis on understanding the realities and myths of what is possible on the world's fastest machines.

This course was also taught as part of the Singapore-MIT Alliance (SMA) programme as course number SMA 5505 (Applied Paralell Computing).

 

Staff

Instructor:
Prof. Alan Edelman

Course Meeting Times

Lectures:
Two sessions / week
1.5 hours /session

Level

Graduate

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