Parallel and Distributed Processing

CMSC 483/691c: Parallel and Distributed Processing

Fall 1995 Course Syllabus

Instructor: Dr. Howard E. Motteler
Class Time: TuTh 7:00-8:15, CP 208-A
Office Hours: TuTh 3:45-5:00, 6:30-7:00, ECS 225-C
Text: Highly Parallel Computing, Almasi & Gottlieb

Course Outline

Overview, Chapter 1
Interconnection Newtworks, Chapter 8
SIMD Parallel Architectures, Chapter 9
MIMD Parallel Architectures, Chapter 10
Sample Applications, Chapter 3
Computational Models and Algorithms, Chapter 4
Languages and Programming Environments, Chapter 5
Operating Systems, Chapter 7

Applications (Chapter 3) and algorithms (Chapter 4), as well as project-specific information, will be covered throughout the course, concurrent with other material. Two thirds of the grade (200 pts) is based on three or four projects (the exact number of projects remains to be determined) and one third (100 pts) on one or more exams and/or problem sets. In certain cases, students may propose their own projects, if a detailed description and design sketch is first submitted. All work must be done by the end of the semester; no incompletes will be given except as required by university policy.