ECE 432: Programming for Multi-Core
Processors
Spring 2010, M,W,F 10-10:50 am |
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Course Introduction:
Multi-core processors have become the mainstream computing
platforms; however, programs developed with a single thread (or a
uniprocessor) in mind can only exploit one core. Thus, to fully harness
the potential of multicore processors, we need to develop multithreaded
programs, which is very challenging!
This course will introduces multi-core architecture, parallel
programming models, task and data decomposition, thread
synchronization, performance measurement and load balance. Hands-on
labs and problem-based learning (PBL) teaching method will be used to
help students make easy transition from single-threaded programming to
multithreaded programming.
This is a computer engineering course, which is open for both senior
and graduate students. Electrical engineering and computer science
students who are interested in multicore programming are also welcomed
to take this course.
Course Objectives:
To provide the students with the knowledge and design experience of
a complete microcomputer system. More specifically to:
1. To familiarize students with multi-core architectures such as
private and shared cache architecture, inter-core communication.
2. To familiarize students with the fundamentals of multithreaded
programming, OpenMP, Pthread, task and data decomposition etc.
3. To train students with practical multi-core programming skills on
real multicore processors.
Textbook:
1. Multi-Core Programming: Increasing Performance through Software
Multithreading, by Shameem Akhter and Jason Roberts, Intel Press, 2006.
References (optional):
1. T. Mattson, B. Sanders and B. Massingill. Patterns for Parallel
Programming, Addison Wesley, 2005.
2. B. Lewis and D. J. Berg. Multithreaded programming with Pthreads.
Prentice Hall, 1998.
Instructor: Dr. Wei Zhang,
E-114, zhang@engr.siu.edu
Office Hours:
M,W,F 9-10am (or by appointment)
Class
Material
* Acknowledgement:
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This
course development and research has been funded in part by
NSF CCLI award 0836615.
Note:
Any opinions, findings and
conclusions or recomendations
expressed in this material are those
of the author(s) and do not
necessarily
reflect the views
of the National Science Foundation (NSF).
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