CSE8163: Parallel and Distributed Scientific Computing

• Instructor: Ed Luke
• Office: Butler 330 (Engineering Research Center 220)
• Office Hours: 10:00am-11:30am T TH Butler 330 (Or by appointment)
• Meeting Place: Butler 104
• Meeting Time: 3:30pm-5:00pm T TH
• Web Site: http://www.cse.msstate.edu/~luke/Courses/fl07/CSE8163
• Instructor E-Mail: luke@cse.msstate.edu
• Course Topics:
• High Performance Techniques for Modern Serial Processors
• Models for Cache Performance and Memory Hierarchy
• Cache Oblivious Algorithms
• Compiler Optimization Issues
• Self Tuning Libraries
• Template Meta-Programming
• Domain Specific Compiler Approaches
• High Performance Techniques for Parallel Processors
• Parallel Models (Programming and Performance)
• Advanced Load Balancing Techniques
• Advanced Adaptive, Dynamic and Irregular Parallel Algorithms:
• Convex Hull
• Graph and Search Algorithms
• Advanced Numerical Methods
• Sparse Linear System Solvers
• Monte Carlo Methods
• Fourier Transform
• Required Text: Introduction to Parallel Computing by Vipin Kumar et. al. (Second edition)
• References
• Grading:
• Literature Review (Paper and Presentation): Due Tuesday, October 2nd 40%
Topics will be assigned in the second week of class. Individual work only. The resulting papers will be shared with the rest of the class. See topics.pdf for more details.
• Group Project: 50%
Projects will be performed by small groups. The results will be presented in a final presentation and paper. Participation of each group member will be accurately reported in the paper and presentation.
• Parallel Direct Simulation Monte Carlo (DSMC): Develop a parallel DSMC model based on the example code dsmc.tar , example job scripts to run parallel jobs on the empire cluster jobscripts.tar.
• Class Participation 10%
• MSU Honor Code :
• The University Wide Honor Code Policy is a must-reading for all students:
Upon accepting admission to Mississippi State University, a student immediately assumes a commitment to uphold the Honor Code, to accept responsibility for learning, and to follow the philosophy and rules of the Honor Code. Students will be required to state their commitment on examinations, research papers, and other academic work. Ignorance of the rules does not exclude any member of the MSU community from the requirements of the processes of the Honor Code. For more information visit the above link.
• Submission: E-mail attachments sent to luke@cse.msstate.edu
• No Late Submission, submit what you have by the due date.
• Submit all source and include files and makefiles
• Do not submit binaries PLEASE !!!