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Courses - Spring 2025
CMSC
Computer Science Department Site
Open Seats as of
12/21/2024 at 07:30 AM
CMSC828G
Advanced Topics in Information Processing; Systems for Machine Learning
Credits: 3
Grad Meth: Reg, Aud, S-F
Restriction: Must be in the Computer Science or Applied Mathematics & & Statistics and Scientific Computation Master's or Doctoral programs, or permission of instructor.

Focus on computer systems and parallel computing research for advancing machine learning, in particular, deep learning. Topics include profiling and parallel scaling of deep learning workloads, kernel optimizations, optimizers, parallel deep learning and inference, and hardware-software co-design.