Research Starter: 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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Optimizing Serial Code in Julia 2: Type inference, function specialization, and dispatch
Type inference, multiple dispatch, and type stability - Julia Journey ep. 4
Optimizing Serial Code in Julia 1: Memory Models, Mutation, and Vectorization
Tools for fixing performance problems in Julia: ProfileView and Cthulhu
Code Profiling and Optimization (in Julia)
Julia High Performance| 3. Types, Type Inference, and Stability
IsDef.jl: Maintainable Type Inference | Stephan Sahm | JuliaCon 2023
World Age in Julia: Optimizing Method Dispatch in the Presence of Eval
Chapter 4 Julia Programming for High Performance Computing (Part 2 Performance and Type Inference)
Crash course on Julia Basics - Loop, function, types, Dict, indexing - Julia Journey ep. 2
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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.

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

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

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

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.

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.

IsDef.jl: Maintainable Type Inference | Stephan Sahm | JuliaCon 2023

IsDef.jl: Maintainable Type Inference | Stephan Sahm | JuliaCon 2023

Read more details and related context about IsDef.jl: Maintainable Type Inference | Stephan Sahm | JuliaCon 2023.

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

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

Read more details and related context about World Age in Julia: Optimizing Method Dispatch in the Presence of Eval.

Chapter 4 Julia Programming for High Performance Computing (Part 2 Performance and Type Inference)

Chapter 4 Julia Programming for High Performance Computing (Part 2 Performance and Type Inference)

Read more details and related context about Chapter 4 Julia Programming for High Performance Computing (Part 2 Performance and Type Inference).

Crash course on Julia Basics - Loop, function, types, Dict, indexing - Julia Journey ep. 2

Crash course on Julia Basics - Loop, function, types, Dict, indexing - Julia Journey ep. 2

In this episode, we talk about a lot of the basics. Check the list below. Also, the