CSYE7105 (High-Performance Parallel Machine Learning and AI) course reviews and ratings at Northeastern (NEU). Average rating 5.0/5. Compare professors with RateMyProfessor reviews.
Explores the parallelization of machine learning and deep learning code that leads to high performance on heterogeneous cluster architectures. Includes the applications to a variety of domains, including image classification, speech recognition, and natural language processing, etc. Covers a brief overview of the emerging parallel computing applications. Analyzes system architectures for different kinds of parallel computing systems (shared-memory system, distributed-memory system, accelerator system, and hybrid). Offers students an opportunity to practice the principles and the practice of the emerging parallelism-based machine-learning paradigm.
Data updated October 2026.