Computer Systems Engineering
CSYE 7105: High-Performance Parallel Machine Learning and AI
Lecture - 4 credits
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- 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.
Explores the parallelization of machine learning and deep learning code that leads to high performance on heterogeneous cluster architectures. Show more.