Explore numerical computation applications using Ubuntu WSL in this 11-minute video. Learn how developers can leverage Ubuntu on Windows Subsystem for Linux to streamline their workflow, enabling shared code for local testing and cluster deployment. Follow along as Ubuntu WSL engineer Eduard Gómez Escandell demonstrates the benefits of this approach using an example project from his GitHub repository. Discover how this method can increase efficiency and reduce iteration time for complex engineering problems in fluid simulations, electromagnetics, and thermal analysis. Gain insights into the challenges of developing computationally expensive solvers and how Ubuntu WSL can address these issues. Understand the advantages of using wrappers, distributed computation, and real engineering applications in the context of WSL. By the end of the video, grasp why WSL is a valuable tool for numerical computing and how it can enhance productivity in enterprise environments.
Overview
Syllabus
Introduction
Challenges
Productivity
Wrappers
Mandelbrot
Motherboard
Distributed computation
Real engineering
Why WSL
Taught by
Canonical Ubuntu