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Stanford CS217: Hardware Accelerators for ML by xkpgg54khw is a document available to read on EtoBox.

What is Stanford CS217: Hardware Accelerators for ML about?

CS217 is a new course focused on designing hardware architectures to accelerate machine learning, covering topics such as DNN inference and training acceleration. The course includes programming assignments, paper reviews, and a final project, with prerequisites in architecture and machine learning. Communication is encouraged through Piazza, and the course aims to explore the balance between performance and programmability in machine learning hardware.

Author

xkpgg54khw

Language

EN