ADVANCED TOPICS IN COMPUTER ARCHITECTURE
ADVANCED TOPICS IN COMPUTER ARCHITECTURE
Class Announcements
Nov 3: We’re offering an optional midterm project review for anyone who’d like to share their progress and get feedback. This session is not graded and completely optional, it’s just a chance to discuss your project status and get guidance.If you’d like to participate, please schedule a slot using the Google Calendar appointment link .
Oct 27: Please try to submit your Cameos as soon as possible. They’re due on December 13, but submitting early will give other students a chance to view your work. You still have a little over a month, but don’t wait until the last day!
LLM Acceleration Architectures
Quantum Computing: ISAs and Architectures
Entrée (required, 1-page proposal)
Semester-long research project (3–5 members, 40 pts)
Class topic lecture (2 members, 40 pts, limited slots)
Available topics: will be updated soon
Side Dishes (optional, to reach 60 pts total)
Paper mini-presentation + discussion lead (2 members, 20 pts)
Researcher cameo (2 persons, 10 pts, unlimited but no duplicates)
Tool/technique cameo (2 persons, 10 pts, unlimited but no duplicates)
Please sign up your team members on the shared Google Drive sheets:
Cameos Sheet → for cameo sign-ups
Papers Sheet → for paper presentations
Projects Sheet → for project teams
⚠️ Note: There are only 11 paper presentation slots (24 teams total), so make sure to sign up early to secure a spot.
Class Overview
A graduate-level introduction to the foundations of efficient microprocessor design. We will be studying research from the computer architecture literature. The course will focus on three "hot" topics in computer architecture:
1 - Reliable system design
2 - Secure and correct system design
3 - Application-specific architectures.
Special emphasis is placed on helping members of the class transition from student to researcher, through projects, presentations, and class discussions.
Course Structure
The course will include lectures, weekly paper readings with student paper reviews, a late mid-term exam, and student self-picked tasks/experiences. Lectures will be given by a combination of the class instructor, visiting lecturers, and student presentations. The material from the course will be taken from recent and classic papers published in privacy-related conferences.
Grading
Student-selected activities - 60%
Mid-exam - 30%
Participation and Attendance - 10%
Communications
Class announcements will be made via Slack and the class website.
For course questions, please email eecs573-f2025-instructors@umich.edu.
Class Resources
Class materials will be uploaded to Google Drive: EECS 573 Google Drive
Other Considerations:
The class will utilize a hybrid format to accommodate additional enrollment for EECS 573 this semester. The only difference between the in-person class and the online course is that lectures for the in-person class will be in the classroom and on Zoom for the online students. The course office hours, project reviews, project presentations, and exams will be online for all students.
Student Well-Being
Students may experience stressors that can impact both their academic experience and their personal well-being. These may include academic pressure and challenges associated with relationships, mental health, alcohol or other drugs, identities, finances, etc.
If you are experiencing concerns, seeking help is a courageous thing to do for yourself and those who care about you. If the source of your stressors is academic, please contact me so that we can find solutions together. For personal concerns, U-M offers many resources, some of which are listed at Resources for Student Well-being on the Well-being for U-M Students website. You can also search for additional resources on that website.