Parallel Architectures for Machine Learning

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.