Course Description:
CSE 160 provides a foundation
for pursuing more advanced topics in parallel computation,
and conducting research in this exciting field.
Text:
Parallel Programming, Calvin Lin and Larry Snyder.
Addison-Wesley, ISBN 0321487907.
Catalog copy: Introduction to HPPC; parallel architecture, algorithms,
software and problem-solving techniques. Areas covered: Flynn's taxonomy,
processor-memory organizations, shared and non-shared memory models; message
passing and multithreading, data parallelism; speed up, efficiency and Amdahl's
law, communication and synchronization, isoefficiency and scalability.
Topics; run time software techniques, compilers, and grid computing.
Assignments given to provide practical experience.
The prerequisite for CSE 160 is CSE 100 or Math 176.
Parallel computation has a rich and varied history, and the techniques for
solving problems on parallel computers are both intriguing and intellectually
appealing. CSE 160 will introduce students to Parallel Computation and its
application to problems--ordinary and extraordinary--arising
in "everyday" computing, as well as in computational science and engineering.
The goal of the course is to learn how to devise and implement
parallel algorithms, to understand performance tradeoffs,
and to learn how to generalize these skills to new problems.
The course will
provide an overview of important topics and issues for parallel
architectures, models, algorithms and software.
It will focus on programming of multi-core processors,
which are the latest trend in processor design.
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