Explore InfiniteExaModels.jl, a powerful modeling framework for solving nonlinear infinite-dimensional optimization problems efficiently on both CPU and GPU. Learn how this framework combines InfiniteOpt.jl and ExaModels.jl to leverage repetitive patterns in discretized infinite-dimensional problems, significantly enhancing derivative evaluation efficiency. Discover the integration of GPU capabilities, traditional nonlinear optimization techniques, and innovative approaches to tackle computational bottlenecks in optimization procedures.
InfiniteExaModels.jl - Accelerating Infinite-Dimensional Optimization on CPU and GPU
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Overview
Syllabus
Intro
Infinite Dimensional Optimization
Traditional Nonlinear Optimization
How does a GPU work
NLP Models
XM Modelsi
InfiniteXa Models
How it works
CPU
GPU
Outro
Taught by
The Julia Programming Language
