At a Glance: 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.

Type Stability In Julia Avoiding Performance Pathologies In Jit Compilation -

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. This video demonstrates interactive tools for exploring code and diagnosing why some code runs slowly due to "

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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.
  • This video demonstrates interactive tools for exploring code and diagnosing why some code runs slowly due to "

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Type Stability in Julia: Avoiding Performance Pathologies in JIT Compilation

Type Stability in Julia: Avoiding Performance Pathologies in JIT Compilation

Read more details and related context about Type Stability in Julia: Avoiding Performance Pathologies in JIT Compilation.

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

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

Read more details and related context about Optimisation & Type Stability​ (HPC in Julia 4/10).

Type-Stable Code in Julia

Type-Stable Code in Julia

Read more details and related context about Type-Stable Code in Julia.

Type Stability in Julia (dissertation defense, 2023)

Type Stability in Julia (dissertation defense, 2023)

Read more details and related context about Type Stability in Julia (dissertation defense, 2023).

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.

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 ...

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 code and diagnosing why some code runs slowly due to "

Type inference, multiple dispatch, and type stability - Julia Journey ep. 4

Type inference, multiple dispatch, and type stability - Julia Journey ep. 4

Now we start to get serious. There is a lot to be said about

Julia High Performance| 3. Types, Type Inference, and Stability

Julia High Performance| 3. Types, Type Inference, and Stability

Read more details and related context about Julia High Performance| 3. Types, Type Inference, and Stability.

Just In Time (JIT) Compilers - Computerphile

Just In Time (JIT) Compilers - Computerphile

Read more details and related context about Just In Time (JIT) Compilers - Computerphile.