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CMSC 5743 Efficient Computing of Deep Neural Networks – Spring 2026
| Lecture: | Friday 18:30-21:15 | YIA LT6 |
| Instructor: | Prof. Bei Yu | byu@cse.cuhk.edu.hk |
| Course Tutors: | Feng Gu | gufeng22@mails.ucas.ac.cn |
Announcements
Course Requirements
Homework (30%), Lab (40%), quiz (30%), and extra bonus.
Please submit your lab reports and homework through blackboard (link).
Schedule
| Date | Topic | Lab/Quiz | Homework | Note |
| Jan. 16 | Introduction (slides) | — | ||
| Jan. 23 | Im1 GEMM (slides) | — | ||
| Jan. 30 | Im2 Direct Conv (slides) | Lab1 GEMM | ||
| Feb. 06 | Im3 Winograd (slides) | — | ||
| Feb. 13 | Mo1 Pruning (slides) | — | HW 1 | |
| Feb. 20 | Im4 Sparse Conv (slides) | — | via zoom | |
| Feb. 27 | Mo2 Decomposition (slides) | Lab2 Winograd | ||
| Mar. 06 | – | — | reading week | |
| Mar. 13 | Mo3 Quantization (slides) | HW 2 | ||
| Mar. 20 | continue on Quantization | Quiz-1 | ||
| Mar. 27 | Mo4 BNN (slides) | Lab3 Sparse | ||
| Apr. 03 | – | Good Friday | ||
| Apr. 10 | Mo5 KD (slides) | Quiz-2 | ||
| Apr. 17 | Im5 CUDA (slides) | Lab4 CUDA |
References
All papers mentioned in lecture slides.
Sze, Vivienne, et al., “Efficient processing of deep neural networks”, Synthesis Lectures on Computer Architecture, 2020.
Erwei Wang et al., “Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going”, CSUR, 2019.
Qianru Zhang et al., “Recent Advances in Convolutional Neural Network Acceleration”, NeuroComputing, 2019.
Bing Li et al., “Running Sparse and Low-Precision Neural Network: When Algorithm Meets Hardware”, ASPDAC, 2018.
Important Dates:
Knowledge Graph
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