Computer Architecture
Description
This course presents the core concepts of computer architecture and design ideas embodied in many machines, and emphasizes a quantitative approach to cost/performance trade-offs. This course concentrates on uniprocessor systems. A few machines are studied to illustrate how these concepts are implemented; how various trade-offs that exist among design choices are treated; and how good designs make efficient use of technology. Future trends in computer architecture are also discussed. Topics covered may include fundamentals of computer design; Performance and cost; Instruction set design and measurements of use; Pipeline design techniques; Memory hierarchy design; Input output subsystems;
Course Learning Outcomes
By the end of this course, the student should be able to
- Design cache, memory hierarchy, and virtual memory using different techniques to improve cost/performance ratio.
- Demonstrate how dynamic scheduling and speculative execution can improve the system performance and explain how it is implemented in modern processors.
- Evaluate different design alternatives and make quantitative/qualitative argument for one design over the other.
- Identity the different types of parallelism (data, instruction, thread, transaction) for a given application.
- Compare and evaluate different techniques (such as multithreading, multicore, or vector) to improve CPU performance
Lecture Times
- Section T: Tuesdays and Thursdays, 10:00am - 11:30pm, PSE 321