EE 511 Machine Learning Hardware Accelerators

Units: 4
Machine-learning accelerator architecture design; network architecture optimization, quantization, pruning; hardware/software codesign and cross layer optimizations for machine-learning models
Prerequisite: EE 457 and EE 477
Recommended Preparation: Experience with HDL and RTL, Python programming at an intermediate level, and use of PyTorch or Tensorflow frameworks in simple ML projects.
Instruction Mode: Lecture, Discussion
Grading Option: Letter