Media Summary: I will describe the current state of Julia's KernelAbstractions.jl is a library to write portable kernels for CPU and GPU In this video, we learn more about writing code for Graphics

Juliacon 2020 Amdgpu Computing In - Detailed Analysis & Overview

I will describe the current state of Julia's KernelAbstractions.jl is a library to write portable kernels for CPU and GPU In this video, we learn more about writing code for Graphics TimeStamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to ... Julia in Academia: Textbooks, Stanford Courses, and the Future by Robert Moss PreTalx: ... RANSAC.jl offers the Efficient RANSAC algorithm, a widely spread method to recognize simple primitives in point clouds of ...

Lessons learned while achieving a 100x speedup of TrajectoryOptimization.jl by eliminating allocations. Memory allocations can ... The ChainRules project allows package authors to write rules for custom sensitivities (sometimes called custom adjoints) in a way ... Abstract: We will show how StateSpaceEcon can be used for state space modeling in macroeconomics in Julia. This package can ... This talk presents the new 1.0 release of the Julia package PackageCompiler.jl which allows one to, in addition to create ...

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JuliaCon 2020 | AMDGPU Computing in Julia | Julian P Samaroo
JuliaCon 2020 | How not to write CPU code -- KernelAbstractions.jl | Valentin Churavy
What's new in AMDGPU.jl | P Samaroo | JuliaCon Global 2025
18. GPU Kernel Programming [HPC in Julia]
GPU Programming in Julia | Workshop | JuliaCon 2021
Scalability and HPC readiness of Julia’s AMD GPU stack | Ludovic Räss | JuliaCon 2023
JuliaCon 2020 | Julia for PDEs: Come for the speed, stay for ... much more | Petr Krysl
Julia in Academia: Textbooks, Stanford Courses, and the Future | Moss | JuliaCon Global 2025
JuliaCon 2020 | Efficient RANSAC in efficient Julia | Tamás Cserteg
JuliaCon 2020 | Adventures in Avoiding Allocations | Brian Jackson
JuliaCon 2020 | ChainRules.jl | Frames Catherine White
JuliaCon 2020 | State Space Modeling for Macroeconomics with StateSpaceEcon | Nicholas Labelle
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JuliaCon 2020 | AMDGPU Computing in Julia | Julian P Samaroo

JuliaCon 2020 | AMDGPU Computing in Julia | Julian P Samaroo

I will describe the current state of Julia's

JuliaCon 2020 | How not to write CPU code -- KernelAbstractions.jl | Valentin Churavy

JuliaCon 2020 | How not to write CPU code -- KernelAbstractions.jl | Valentin Churavy

KernelAbstractions.jl is a library to write portable kernels for CPU and GPU

What's new in AMDGPU.jl | P Samaroo | JuliaCon Global 2025

What's new in AMDGPU.jl | P Samaroo | JuliaCon Global 2025

What's new in

18. GPU Kernel Programming [HPC in Julia]

18. GPU Kernel Programming [HPC in Julia]

In this video, we learn more about writing code for Graphics

GPU Programming in Julia | Workshop | JuliaCon 2021

GPU Programming in Julia | Workshop | JuliaCon 2021

Julia has several packages for

Scalability and HPC readiness of Julia’s AMD GPU stack | Ludovic Räss | JuliaCon 2023

Scalability and HPC readiness of Julia’s AMD GPU stack | Ludovic Räss | JuliaCon 2023

For more info on the Julia

JuliaCon 2020 | Julia for PDEs: Come for the speed, stay for ... much more | Petr Krysl

JuliaCon 2020 | Julia for PDEs: Come for the speed, stay for ... much more | Petr Krysl

TimeStamps: 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to ...

Julia in Academia: Textbooks, Stanford Courses, and the Future | Moss | JuliaCon Global 2025

Julia in Academia: Textbooks, Stanford Courses, and the Future | Moss | JuliaCon Global 2025

Julia in Academia: Textbooks, Stanford Courses, and the Future by Robert Moss PreTalx: ...

JuliaCon 2020 | Efficient RANSAC in efficient Julia | Tamás Cserteg

JuliaCon 2020 | Efficient RANSAC in efficient Julia | Tamás Cserteg

RANSAC.jl offers the Efficient RANSAC algorithm, a widely spread method to recognize simple primitives in point clouds of ...

JuliaCon 2020 | Adventures in Avoiding Allocations | Brian Jackson

JuliaCon 2020 | Adventures in Avoiding Allocations | Brian Jackson

Lessons learned while achieving a 100x speedup of TrajectoryOptimization.jl by eliminating allocations. Memory allocations can ...

JuliaCon 2020 | ChainRules.jl | Frames Catherine White

JuliaCon 2020 | ChainRules.jl | Frames Catherine White

The ChainRules project allows package authors to write rules for custom sensitivities (sometimes called custom adjoints) in a way ...

JuliaCon 2020 | State Space Modeling for Macroeconomics with StateSpaceEcon | Nicholas Labelle

JuliaCon 2020 | State Space Modeling for Macroeconomics with StateSpaceEcon | Nicholas Labelle

Abstract: We will show how StateSpaceEcon can be used for state space modeling in macroeconomics in Julia. This package can ...

Shippable Apps and Custom sysimages With PackageCompiler.jl | Kristoffer Carlsson | JuliaCon 2020

Shippable Apps and Custom sysimages With PackageCompiler.jl | Kristoffer Carlsson | JuliaCon 2020

This talk presents the new 1.0 release of the Julia package PackageCompiler.jl which allows one to, in addition to create ...