The University of Texas at Austin 3 credits Electrical and Computer Engineering
Explore co-design of machine learning (ML) algorithms and hardware; foundations of ML, compute-intensive ML architectures, high-performance matrix multiplication, spatial computing, roofline modeling, and scheduling and dataflows; ML-specific numerics, compression, quantization, and architectures for edge and mobile; codesign for scaling and system considerations; and circuit-level techniques for ultra-low-power ML, analog, and processing-in-memory techniques. Only one of the following may be counted: Electrical and Computer Engineering 382N (Topic 26), Electrical and Computer Engineering 382V (Topic: Crss-Lyr ML Algo/Hw Co-Dsgn), Electrical Engineering 382V (Topic: Crss-Lyr ML Algo/Hw Co-Dsgn).
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