Accelerator Architectures for Machine Learning

Lecture and Office Hours

Lecturer Tsung Tai Yeh ttyeh@cs.nycu.edu.tw
Lectures 3:30 pm - 6:20 pm (Tue.) ED-302
Office Hours 5:00 - 6:00 pm (Mon.) EC-707
TA Zhi-Duan Jiang m897420@gmail.com

Course Outline

Week Date Lecture Topics Paper Report Lab Deadline Misc.
1 9/12 Course Introduction[pdf]   Build AI Silicon
2 9/19 Basics of Deep Learning[pdf]   CFU Playground
Efficient Inference
3 9/26 Quantization[pdf] Domain-Specific Accelerator, ACM Comm., 2020 [pdf]
4 10/3 Pruning and Sparsity[pdf] [Lab 1]
AI Accelerator
5 10/10 Holiday  
6 10/17 Systolic Accelerator[pdf] [Lab 2]
7 10/24 Digital AI Accelerator[pdf] TPU v4, ISCA, 2023 [pdf]
8 10/31 GPGPU Architecture[pdf]   [Lab 3]
9 11/7 GPU Tensor Core[pdf] MTIA, ISCA 2023 [pdf] Quiz-1
10 11/14 Sparse DNN Accelerator[pdf] [Lab 4]
11 11/21 Chiplet Accelerator[pdf] Sparse Tensor Core, ISCA 2021 [pdf]  
12 11/28 Analog ML Accelerator[pdf] [Lab 5]
Edge AI Acceleration
13 12/5 Basics of TinyML[pdf] Simba Arch., MICRO 2019 [pdf]
14 12/12 No Class  
15 12/19 Invited talk SNAFU, ISCA 2021 [pdf]
16 12/26 TinyML Acceleration Architecture Quiz-2
17 1/2 Final Project   [Final Project]

Reference

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