ECE Course Syllabus
ECE4100 Course Syllabus
Advanced Computer Architecture (3-0-3)
- CMPE Degree
- This course is Elective for the CMPE degree.
- EE Degree
- This course is Elective for the EE degree.
- Course Coordinator
- Qureshi,Moinuddin K
- ECE 3055/3056
- Catalog Description
- Comprehensive coverage of the architecture and system issues that confront the design of high performance workstation/PC computer architectures with emphasis on quantitative evaluation. Credit is not allowed for both ECE 4100 and any of the following courses: ECE 6100, CS 4290, CS 6290.
- Hennessey & Patterson, Computer Architecture: A Quantitative Approach (6th edition), Morgan Kaufmann, 2017. ISBN 9780128119051 (required)
- 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.
- ( LN ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
- ( LN ) 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
- ( LN ) An ability to communicate effectively with a range of audiences
- ( LN ) 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
- ( LN ) 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
- ( LN ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
- ( LN ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
- Topical Outline
Pipelines review basic principles, hazards, dependencies data hazards, scoreboards, Tomasulo algorithm control hazards, branch prediction techniques multiple instruction issue compiler support speculative execution performance evaluation Memory systems review of caches principles techniques to reduce cache misses, multi-level caches techniques to reduce hit time techniques to improve main memory performance virtual memory Storage Systems review of storage technologies, magnetic disk basics I/O performance measures, benchmarks reliability, availability, RAID interaction with caches, OS Parallel Computers taxonomy of parallel architectures, parallel applications synchronization mechanisms bus based cache coherence protocols directory based cache coherence protocols memory consistency models, relaxed consistency models interconnection networks, bi-section bandwidth, topologies networked workstation cluster computers
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