Juliacon 2020 A Parallel Time Net Worth 2026: Salary, Income & Wealth

This talk introduces a new flexible and extendable

This work presents a

Davids resource's for this workshop: https://github.com/dpsanders/LearnJulia2020 This is a tutorial workshop, aimed at people ...

You might not know all of the latest methods in differential equations, all of the best knobs to tweak, how to properly handle ...

JuliaHub (https://juliahub.com) is the entry point for all things Julia: explore the ecosystem, contribute packages, and easily run ...

After executing Julia code you are presented with the result. If you are working in the Julia REPL you are usually seeing just a ...

We present a self-contained approach for the development of massively scalable multi-GPU solvers for coupled nonlinear ...

We will show how the different types of parallelization in Julia interact with random number generators and shared state. Using the ...

A case of IR-based metaprogramming, going beyond just nonstandard function execution. This talk introduces the design and ...

Despite many efforts, it can be difficult to find good abstractions that are efficient on both CPU and GPU code. In our effort to add ...

If you're familiar with Julia and its ecosystem, you may have noticed something lovely but a bit puzzling: there seems to be an ...

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 ...