Media Summary: This work discusses some of the requirements for deploying non-convex nonlinear In this video we make small changes to our N body simulation example to show various easy In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.
Julia Programming Benchmarking And Optimization - Detailed Analysis & Overview
This work discusses some of the requirements for deploying non-convex nonlinear In this video we make small changes to our N body simulation example to show various easy In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. This poster was presented at JuliaCon2021. Abstract: We introduce a Most important tools for optimizing Julia code: and
![12. Optimisation Tips & Tricks [HPC in Julia]](https://i.ytimg.com/vi/UZzFabpkH8Y/mqdefault.jpg)
