Research Software Engineer at MIT's JuliaLab.
I'm the maintainer of Dagger.jl, AMDGPU.jl, and BPFnative.jl, and am dedicated to making Julia's heterogeneous computing support powerful and productive.
Dagger.jl is a Julia library aiming to improve the way Julia users do distributed programming. With its functional task-focused API, distributed table and array implementations, and intelligent scheduler, Dagger is quickly becoming the de-facto distributed programming interface for many parts of our ecosystem.
This talk is focused on Dagger's development over the last year, and where we see Dagger going over the next few years. I'll also provide examples of how to use Dagger's new features.