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Lecture Details
Lecture 1:Overview of Computer Architecture
Lecture 2:Technology Trends: Culture of Tracking, Anticipating and Exploiting Advances in Technology
Lecture 3:Computer Performance
Lecture 4:Caches
Lecture 5:Memory Systems
Lecture 6:Class Discussion
Lecture 7:Instruction Level Parallelism
Lecture 8:Instruction Level Parallelism (con't)
Lecture 9 : Limits to Instruction Level Parallelism (Another Perspective)
Lecture 10 : Simultaneous Multithreading
Lecture 11 : Guest Lecture: Vector Computers
Lecture 12 : Vector Processors; Introduction to Multiprocessors
Lecture 13 : Snooping Cache and Directory Based Multiprocessors
Lecture 14 :Directory Based Multiprocessors
Lecture 15 : T1 ("Niagara")
Lecture 16 : Papers, MP Future Directions, and Midterm Review
Lecture 17 : Advanced Memory Hierarchy
Lecture 18 : Advanced Memory Hierarchy 2
Lecture 19 : Guest Lecture: James Laudon, Distinguished Engineer, Sun Microsystems CMP for Servers
Lecture 20 : Storage
Lecture 21 : Queueing Theory
Lecture 22 : How to have a Bad Career in Grad School and Beyond
Lecture 23 : Goodbye to Computer Architecture, Bad Career Alternatives, and Cal Cultural History
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