CSE554: Systems for Machine Learning
Catalog Description: 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.
Prerequisities: (none listed) Credits: 4.0Portions of the CSE554 web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly credited. The CSE554 Web: © 1993-2026, Department of Computer Science and Engineering, University of Washington. Administrative information on CSE554 (authentication required).