1. Parallel and Distributed Computing Overview
Professors Johnnie Baker and Robert Walker

2. Instructors Professor Johnnie W. Baker Professor Robert Walker
Primary Lecturer
Professor Robert Walker
Particularly Architecture Lectures
Guest Lecturers from Parallel Processing Group
Lecture in areas of expertise
Occasionally cover classes when I am away

3. Textbook and References
Parallel Programming in C with MPI and OpenMP
Michael Quinn, author
Published by McGraw Hill in 2004
Used in both PDC and PDA
References for Supplementary Reading
Other textbooks and reference books
Conference and journal papers
Assigned reading will either be handed out or posted on course website

4. Two Complementary Courses
Parallel & Distributed Computing (Fall)
Architectures
Languages
Parallel Programming
Algorithm Examples for some architectures
Parallel & Distributed Algorithms (Spring)
Important Models of Computation
Designing Efficient Algorithms for Various Models
PDC and PDA can be taken in either order
Preference is for PDC to be taken first

5. Specific Topics Fundamental concepts in parallel computation.
Synchronous Computation
SIMD, Vector, Pipeline Computing
Associative and Multi-Associative Computing
ASC Language and Programming
MultiC Language and Programming
Fortran 90 and HPF Languages
Asynchronous (MIMD) Shared Memory Computation
OpenMP language
Symmetric Multiprocessors or SMPs
Asynchronous (MIMD) Distributed Memory Computation
Communications
MPI Language and Programming
Architectures
Interconnection Networks (synchronous and asynchronous)
Specific Computer Examples for above computation paradigms
MIMD-SIMD Comparisons in Real-Time Applications

6. Assignments and Grading
Homework assignments
Problems assigned for most chapters
Probably 5-7 different assignments
Some assignments will involve programming
Course Grade
Based on homework, midterm, and final
Approximate weights (assuming grader)
Homework %
Midterm Exam 30%
Final Exam %