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

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In this video we make small changes to our N body simulation example to show various easy optimisation techniques that you can ... In Fall 2020 and Spring 2021, this was MIT's 18.337J/6.338J: Parallel Computing and Scientific Machine Learning course. Although, usage of react is growing rapidly, most of us not aware of its best practices.

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Related Media Gallery

Code Profiling and Optimization (in Julia)
Profiling Parallel Julia Code With Nsight Systems and NVTX.jl | Simon Byrne | JuliaCon 2023
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Keynote: Conic Optimization in Julia and JuMP | Juan Pablo Vielma | JuliaCon 2020
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[08x02] Julia Performance Tips and Tools | How to use @time, @profile, @profview, @profview_allocs
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Profiling and Optimizing Performance of React Applications -  Sachin Chopra
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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

Read more details and related context about Profiling Parallel Julia Code With Nsight Systems and NVTX.jl | Simon Byrne | JuliaCon 2023.

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

Read more details and related context about Keynote: Conic Optimization in Julia and JuMP | Juan Pablo Vielma | JuliaCon 2020.

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

Read more details and related context about [08x02] Julia Performance Tips and Tools | How to use @time, @profile, @profview, @profview_allocs.

Tools for fixing performance problems in Julia: ProfileView and Cthulhu

Tools for fixing performance problems in Julia: ProfileView and Cthulhu

Read more details and related context about Tools for fixing performance problems in Julia: ProfileView and Cthulhu.

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.

Profiling and Optimizing Performance of React Applications -  Sachin Chopra

Profiling and Optimizing Performance of React Applications - Sachin Chopra

Although, usage of react is growing rapidly, most of us not aware of its best practices. Thus, we remain devoid of harnessing full ...

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

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

Read more details and related context about Most important tools for optimizing Julia code: @profview and @code_warntype.