Parallel & Distributed Computer Architecture
(3-0-0-3)
CMPE Degree: This course is Not Applicable for the CMPE degree.
EE Degree: This course is Not Applicable for the EE degree.
Lab Hours: 0 supervised lab hours and 0 unsupervised lab hours.
Technical Interest Group(s) / Course Type(s): Computer Systems and Software
Course Coordinator:
Prerequisites: ECE 6100
Corequisites: None.
Catalog Description
An advanced study of the critical issues and limiting factors in thedesign of asynchronous and synchronous parallel and distributed
architectures.
Course Outcomes
Not Applicable
Student Outcomes
In the parentheses for each Student Outcome:"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.
1. ( Not Applicable ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. ( Not Applicable ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3. ( Not Applicable ) An ability to communicate effectively with a range of audiences
4. ( Not Applicable ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. ( Not Applicable ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6. ( Not Applicable ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. ( Not Applicable ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Strategic Performance Indicators (SPIs)
Not Applicable
Course Objectives
Topical Outline
Introduction
Sequential performance
Parallel speedup, Performance measures, Scalability
Performance versus efficiency
Issues in parallel execution models, Classification
Shared Memory
Introduction
Shared-Bus, Shared-Memory
Directory-Based Shared-Memory
Dataflow
static dataflow and dynamic dataflow
Message Passing
SIMD
ILIAC IV, Connection Machine, MasPar, CM-5, GF11
Systolic Arrays
criteria for systolic system
WARP, iWARP GAPP (image processing)
Interconnection Networks
Parallel Memory Systems
Input/Output Systems