High Performance Machine Learning, Deep Learning, and Data Science - Principles and Practice

Explore high-performance computing principles and practices for machine learning, deep learning, and data science in this comprehensive tutorial presented by experts from The Ohio State University's Department of Computer Science and Engineering. Led by Dhabaleswar K. (DK) Panda, Hari Subramoni, Aamir Shafi, and Nawras Alnaasan at the HOTI - Hot Interconnects Symposium, learn essential techniques for optimizing computational performance in advanced data analysis and artificial intelligence applications. Gain insights into the intersection of high-performance computing infrastructure and modern machine learning methodologies during this three-hour deep dive into performance optimization strategies and practical implementation approaches.