Course Description
In-depth study of processor architectures to exploit data-level parallelism, including general computation on graphics processing units (GPGPU, aka GPU computing architecture) and vector processors; memory subsystems; advantages and disadvantages of various architectures; technology shifts, trends, and constraints.
Spring 2025
Instructors
Meeting Patterns
Classes Start:
January 6, 2025
Classes End:
April 22, 2025
Location:
02207 Engineering Building 3
Class Days:
T H
Class Start Time:
4:30pm
Class End Time:
5:45pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
Restricted: ECE Graduate Students Only
