Hardware Acceleration for Machine Learning

This course is a comprehensive exploration of AI system design, from the intricacies of deep learning architecture to hardware considerations. The course covers a range of computing platforms in CPUs, TPUs, and GPUs, emphasizes FPGA fundamentals and programming, and delves into memory structures crucial for AI. It also provides strategies for optimizing power consumption in system-level and RT-level design.