Description
Parallel processing architectures. Multiprocessor systems, multi-threaded architectures, massively multi-core architectures, accelerators and special-purpose systems for machine learning applications. Design and implementation of parallel programs. Parallelizing Machine Learning Computational Cores in General Purpose Parallel Architectures and Accelerators. Reconfigurable architectures.
Professors
Semester
Spring Semester
Category
Obligatory
Lecture Hours
2 hours
Lab Hours
1 hour
Credits
5