Systems for Machine Learning

4 credits

Covers the design and implementation of systems that perform modern machine learning. Investigates languages, compilers, computer architectures, and distributed computing for machine-learning computations, including training and inference. Explores advanced system techniques to scale modern machine-learning models and optimize computation, memory, and communication. Recommended: machine learning from a course at the level of CSE 446; and systems from a course at the level of CSE 451 or CSE 452.