Title: A Short Course on the Hierarchical Modeling Technique (continued)
Speaker: Prof HUANG, Jingfang; University of North Carolina, Chapel Hill
Date:
May 11, Thursday, 6:30-8:30PM
May 17, Wednesday, 2:00-5:00PM
July 3, Monday, 2:00-4:00PM
July 4, Tuesday, 2:00-4:00PM
July 5, Wednesday, 2:00-4:00PM
Venue: 览秀楼205
Abstract: The hierarchical modeling technique is defined as the following steps to study a given system or dataset. It first identifies any low-rank, or low-dimensional, or other compact features using appropriate and mathematically rigorous definitions. The compressed representations are then recursively collected from children to parents, and transmitted between different nodes on a hierarchical tree structure using properly compressed translation operators. In its numerical implementation, the hierarchical models are often re-expressed as recursive algorithms, which can be easily interfaced with existing dynamical scheduling tools from HPC community for optimal parallel efficiency. In this short course, we will study the fundamentals of the hierarchical modeling technique, and provide several case studies to demonstrate its applications in different fields.