Accelerator Architectures for Machine Learning

Lecture and Office Hours

Lecturer Tsung Tai Yeh ttyeh@cs.nycu.edu.tw
Lectures 10:20 am - 12:00 am (Thur.) ED-302
Office Hours 9:00 - 10:00 am (Thur.) EC-516
TA Kyle Lin;Wei-Hsiang Lu kyle0908@nycu.edu.tw;weihrrr123@gmail.com
Class Lab Website https://nycu-caslab.github.io/AAML2025

Course Outline

Week Date Lecture Topics Paper Report Lab Deadline Misc.
1 9/4 Basics of AI Accelerator[pdf] Syllabus[Syllabus] Build AI Silicon
2 9/11 Large Language Model[pdf]   CFU Playground
3 9/18 Quantization[pdf] Lab 1
4 9/25 Pruning and Sparsity[pdf] BitMOD, HPCA, 2025[pdf]
5 10/2 Systolic Accelerator[pdf] Lab 2
6 10/9 Digital AI Accelerator[pdf] FIGLUT, HPCA, 2025 [pdf]
7 10/16 GPGPU Architecture[pdf] Lab 3
8 10/23 Midterm Exam GARDE, ISCA, 2025 [pdf]
9 10/30 GPU Tensor Core[pdf] RTSpMSpM, ISCA, 2025 [pdf]
10 11/6 Sparse DNN Accelerators[pdf] Lab 4
11 11/13 Chiplet Accelerator[pdf] vAttention, ASPLOS 2025 [pdf]
12 11/20 Machine Learning Compiler[pdf] floatap, MICRO 2024 [pdf]
13 11/27 Analog ML Accelertor Lab 5
14 12/4 Final Exam ATiM, ISCA 2025 [pdf]
15 12/11 Invited Talk
16 12/18 Invited Talk Invited talk (AMD)
17 12/24 Final Project Due

Reference

  • Paper Feedback Sheet:[Paper Feedback Form]
  • Paper Group Sheet:[Paper Group Form]
  • Final Project Group Sheet:[Final Project Group Form]