Media Summary: In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. Understanding the performance of parallel In this video we make small changes to our N body simulation example to show various easy optimisation techniques that you can ...

Code Profiling And Optimization In Julia - Detailed Analysis & Overview

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. Understanding the performance of parallel In this video we make small changes to our N body simulation example to show various easy optimisation techniques that you can ... Find Juan Pablo Vielma's slides here: Contents 00:00 ... This video demonstrates interactive tools for exploring This poster was presented as part of JuliaCon2021. Abstract: We discuss GasModels.

Most important tools for optimizing Julia code: and The ODE solver spit out dt less than dtmin, what do you do? MethodError Dual{...}, what does it mean? Plenty of people ask these ... In this video, we learn how to professionally Where is the slow coming from? How do you make your Python In this video, we detail how to do constrained In this presentation, we give an overview of the recent progress regarding the continuous nonlinear nonconvex

Photo Gallery

Code Profiling and Optimization (in Julia)
Profiling Parallel Julia Code With Nsight Systems and NVTX.jl | Simon Byrne | JuliaCon 2023
Optimisation & Type Stability​ (HPC in Julia 4/10)
12. Optimisation Tips & Tricks [HPC in Julia]
Keynote: Conic Optimization in Julia and JuMP | Juan Pablo Vielma | JuliaCon 2020
Optimizing Serial Code in Julia 2: Type inference, function specialization, and dispatch
[08x02] Julia Performance Tips and Tools | How to use @time, @profile, @profview, @profview_allocs
Optimizing Serial Code in Julia 1: Memory Models, Mutation, and Vectorization
Tools for fixing performance problems in Julia: ProfileView and Cthulhu
Gasmodels,jl: Optimization for Natural Gas Systems in Julia | Russel Bent | JuliaCon2021
Most important tools for optimizing Julia code: @profview and @code_warntype
How to Debug Julia Simulation Codes (ODEs, Optimization, etc.!) | Chris Rackauckas | JuliaCon 2022
View Detailed Profile
Code Profiling and Optimization (in Julia)

Code Profiling and Optimization (in Julia)

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.

Profiling Parallel Julia Code With Nsight Systems and NVTX.jl | Simon Byrne | JuliaCon 2023

Profiling Parallel Julia Code With Nsight Systems and NVTX.jl | Simon Byrne | JuliaCon 2023

Understanding the performance of parallel

Optimisation & Type Stability​ (HPC in Julia 4/10)

Optimisation & Type Stability​ (HPC in Julia 4/10)

MPAGS: High Performance Computing in

12. Optimisation Tips & Tricks [HPC in Julia]

12. Optimisation Tips & Tricks [HPC in Julia]

In this video we make small changes to our N body simulation example to show various easy optimisation techniques that you can ...

Keynote: Conic Optimization in Julia and JuMP | Juan Pablo Vielma | JuliaCon 2020

Keynote: Conic Optimization in Julia and JuMP | Juan Pablo Vielma | JuliaCon 2020

Find Juan Pablo Vielma's slides here: https://juan-pablo-vielma.github.io/presentations/JULIACON_2020.pdf Contents 00:00 ...

Optimizing Serial Code in Julia 2: Type inference, function specialization, and dispatch

Optimizing Serial Code in Julia 2: Type inference, function specialization, and dispatch

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.

[08x02] Julia Performance Tips and Tools | How to use @time, @profile, @profview, @profview_allocs

[08x02] Julia Performance Tips and Tools | How to use @time, @profile, @profview, @profview_allocs

In this intermediate-level

Optimizing Serial Code in Julia 1: Memory Models, Mutation, and Vectorization

Optimizing Serial Code in Julia 1: Memory Models, Mutation, and Vectorization

In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course.

Tools for fixing performance problems in Julia: ProfileView and Cthulhu

Tools for fixing performance problems in Julia: ProfileView and Cthulhu

This video demonstrates interactive tools for exploring

Gasmodels,jl: Optimization for Natural Gas Systems in Julia | Russel Bent | JuliaCon2021

Gasmodels,jl: Optimization for Natural Gas Systems in Julia | Russel Bent | JuliaCon2021

This poster was presented as part of JuliaCon2021. Abstract: We discuss GasModels.

Most important tools for optimizing Julia code: @profview and @code_warntype

Most important tools for optimizing Julia code: @profview and @code_warntype

Most important tools for optimizing Julia code: @profview and @code_warntype

How to Debug Julia Simulation Codes (ODEs, Optimization, etc.!) | Chris Rackauckas | JuliaCon 2022

How to Debug Julia Simulation Codes (ODEs, Optimization, etc.!) | Chris Rackauckas | JuliaCon 2022

The ODE solver spit out dt less than dtmin, what do you do? MethodError Dual{...}, what does it mean? Plenty of people ask these ...

Convex Optimization for Quantum Control in Julia | Flemming Holtorf, Frank Schäfer | JuliaCon 2023

Convex Optimization for Quantum Control in Julia | Flemming Holtorf, Frank Schäfer | JuliaCon 2023

For more info on the

Optimize Your Python Programs: Code Profiling with cProfile

Optimize Your Python Programs: Code Profiling with cProfile

In this video, we learn how to professionally

Debugging JuMP Optimization Models Using Graph Theory | Robert Parker | JuliaCon 2023

Debugging JuMP Optimization Models Using Graph Theory | Robert Parker | JuliaCon 2023

Writing a large

World Age in Julia: Optimizing Method Dispatch in the Presence of Eval

World Age in Julia: Optimizing Method Dispatch in the Presence of Eval

Julia's

Diagnose slow Python code. (Feat. async/await)

Diagnose slow Python code. (Feat. async/await)

Where is the slow coming from? How do you make your Python

[02x03] Julia; VSCode; Optimization; Knapsack; JuMP; PlotlyJS | 3/13 Julia Analysis for Beginners

[02x03] Julia; VSCode; Optimization; Knapsack; JuMP; PlotlyJS | 3/13 Julia Analysis for Beginners

Learn how to use

Constrained Optimization & Analytical Gradients in Julia

Constrained Optimization & Analytical Gradients in Julia

In this video, we detail how to do constrained

Optimization Solvers in JuliaSmoothOptimizers | Tangi Migot | JuliaCon 2023

Optimization Solvers in JuliaSmoothOptimizers | Tangi Migot | JuliaCon 2023

In this presentation, we give an overview of the recent progress regarding the continuous nonlinear nonconvex