3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: General understanding of digital logic design, computer architecture, and programming skills.
COURSE
MICS6000U
ML Accelerators
Function Hub / Microelectronics · 3 Credits
This course is designed to introduce hardware for machine learning to students. It will focus on the basics of deep learning, computations and dataflow of inference and training, hardware accelerator implementations and co-optimization of software and hardware techniques. This course is particularly targeted to help students comprehensively understand the design principles and techniques of hardware accelerators for machine learning systems using state-of-the-art structures (e.g., FPGAs,ASICs, CIM).
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3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: General understanding of digital logic design, computer architecture, and programming skills.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: General understanding of digital logic design, computer architecture, and programming skills.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: General understanding of digital logic design, computer architecture, and programming skills.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: General understanding of digital logic design, computer architecture, and programming skills.
3 Credits
官方数据更新时间: 2026-08-06 14:55:26
背景: General understanding of digital logic design, computer architecture, and programming skills.