tinsir888/ai-computing-system-cambricon
AI Computing System(professional elective in the 6th semester in NKUCS) programming assignments on Cambricon. The course is a combination of Deep Learning and Computer Architecture. Taught by Prof. Li Tao and Lecturer Xie Xueshuo.
This collection of programming assignments helps students understand how deep learning algorithms interact with specialized AI hardware, specifically Cambricon's computing systems. It takes deep learning model specifications and computer architecture principles as input, and demonstrates optimized implementations for AI processors. Students in computer science or electrical engineering focusing on AI hardware acceleration would use this.
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Use this if you are a student or educator looking for practical, hands-on programming exercises to learn about deep learning deployment on Cambricon AI hardware.
Not ideal if you are looking for a general-purpose deep learning library or a tool to deploy models on standard CPUs/GPUs.
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Jul 10, 2022
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