Dagger.jl

A framework for out-of-core and parallel execution (by JuliaParallel)

Dagger.jl Alternatives

Similar projects and alternatives to Dagger.jl

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better Dagger.jl alternative or higher similarity.

Dagger.jl reviews and mentions

Posts with mentions or reviews of Dagger.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-30.
  • Dagger: a new way to build CI/CD pipelines
    29 projects | news.ycombinator.com | 30 Mar 2022
  • DTable a new distributed table implementation in Julia using Dagger.jl
    2 projects | news.ycombinator.com | 8 Dec 2021
    Firstly, I'll say that we already have work started to implement out-of-core directly in Dagger: https://github.com/JuliaParallel/Dagger.jl/pull/289.

    With that PR in place, it should be possible to define a "storage device" which is backed by a database. I haven't had a chance to actually try this, since the PR still needs quite some work and testing, but it's definitely something on my radar!

  • From Julia to Rust
    14 projects | news.ycombinator.com | 5 Jun 2021
  • Cerebras’ New Monster AI Chip Adds 1.4T Transistors
    4 projects | news.ycombinator.com | 22 Apr 2021
    I'm not sure that's necessarily the domain of a low-level package like CUDA.jl though (which I assume you're referring to). That kind of interface is more the domain of higher-level packages like https://github.com/JuliaParallel/Dagger.jl/ and to a lesser extent https://juliagpu.github.io/KernelAbstractions.jl/stable/. Moreover, the jury is still out on whether the built-in Distributed module is an ideal abstraction for every use-case (clusters, heterogeneous compute, etc.)

    WRT Nx, my biggest question is how they'll crack the problem of still needing big balls of C++ and the shims everywhere to get acceleration. Creating a compiler that generates efficient GPU or other accelerator code is a massive research project with no clear winners, never mind the challenge of reconciling the very mutation-heavy needs of GPU compute with a mostly immutable language model.

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Basic Dagger.jl repo stats
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6 days ago

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