The Legion Parallel Programming System (by StanfordLegion)

Legion Alternatives

Similar projects and alternatives to legion

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

legion reviews and mentions

Posts with mentions or reviews of legion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-20.
  • Progress on No-GIL CPython
    5 projects | news.ycombinator.com | 20 Oct 2023
    Parallelism in CS is a bit like security in CS. People know it matters in the abstract senses but you really only get into it if you look for the training specifically. We're getting better at both over time: just as more languages/libraries/etc. are secure by default, more now are parallel by default. There's a ways to go, but I'm glad we didn't do this prematurely, because the technology has improved a lot in the last decade. Look for example at what we can do (safely!) with Rayon in Rust vs (unsafely!) with OpenMP in C++.

    And there are things even further afield like what I work on [1][2][3].

    [1]: https://legion.stanford.edu/

    [2]: https://regent-lang.org/

    [3]: https://github.com/nv-legate/cunumeric

  • Mojo is now available on Mac
    13 projects | news.ycombinator.com | 19 Oct 2023
    Chapel has at least several full-time developers at Cray/HPE and (I think) the US national labs, and has had some for almost two decades. That's much more than $100k.

    Chapel is also just one of many other projects broadly interested in developing new programming languages for "high performance" programming. Out of that large field, Chapel is not especially related to the specific ideas or design goals of Mojo. Much more related are things like Codon (https://exaloop.io), and the metaprogramming models in Terra (https://terralang.org), Nim (https://nim-lang.org), and Zig (https://ziglang.org).

    But Chapel is great! It has a lot of good ideas, especially for distributed-memory programming, which is its historical focus. It is more related to Legion (https://legion.stanford.edu, https://regent-lang.org), parallel & distributed Fortran, ZPL, etc.

  • Announcing Chapel 1.32
    6 projects | news.ycombinator.com | 9 Oct 2023
    I should also note that there is Pygion if you want to use Python. Not a lot of great reference material right now, but there's the paper:


    And code samples:


  • Is anyone using PyPy for real work?
    13 projects | news.ycombinator.com | 31 Jul 2023
    We use PyPy for performing verification of our software stack [1], and also for profiling tools [2]. The verification tool is basically a complete reimplementation of our main product, and therefore encodes a massive amount of business logic (and therefore difficult to impossible to rewrite in another language). As with other users, we found the switch to PyPy was seamless and provides us with something like a 2.5x speedup out of the box, with (I think) higher speedups in some specific cases.

    We eventually rewrote the profiler tool in Rust for additional speedups, but as mentioned for the verification engine, it's probably too complicated to ever do that so we really appreciate drop-in tools like PyPy that can speed up our code.

    [1]: https://github.com/StanfordLegion/legion/blob/master/tools/l...

    [2]: https://github.com/StanfordLegion/legion/blob/master/tools/l...

  • Is Parallel Programming Hard, and, If So, What Can You Do About It? [pdf]
    4 projects | news.ycombinator.com | 19 Feb 2023
    If you really want to dig into it you can read up on the tutorials and/or papers from the Legion project: https://legion.stanford.edu/

    But briefly, these task-based programs preserve sequential semantics. That means (whatever the system actually does when running your program), as long as you follow the rules, the parallelism should be invisible to the execution of the program.

  • Ask HN: Who is hiring? (September 2022)
    20 projects | news.ycombinator.com | 1 Sep 2022
    Computer Science Research Dept., SLAC National Accelerator Laboratory | Research Scientist / Engineer | Menlo Park, CA or REMOTE, VISA | Full Time

    We're a research group within SLAC, headed by Alex Aiken (https://theory.stanford.edu/~aiken/). We focus on fundamental CS research that has the potential to impact science, mainly in the areas of high-performance and distributed computing, programming languages, compilers, networks, operating systems, etc. One of our major projects is Legion, a forward-looking programming system for distributed computing (https://legion.stanford.edu/). Legion has been used to create new programming languages (https://regent-lang.org/), seamless distributed NumPy (https://developer.nvidia.com/cunumeric), and a drop-in replacement for Keras and PyTorch (https://flexflow.ai/), among many other things.

    We are looking for strong scientists and engineers to join our group. For clarity (because these terms vary by industry/company), scientists mainly focus on producing research results (e.g., papers and research software) while engineers mainly focus on software development and deliverables (e.g., system or application implementation). For scientist positions please expect to provide a CV with relevant publications.

    The official application links are below, but please feel free to contact me directly if you have questions. (My HN username @slac.stanford.edu)

    Scientist (Computer Science):


    Engineer (Computer Science):


    We've had some reports that the application site doesn't work well in Google Chrome. You might want to apply in Firefox.

  • The Underwhelming Impact of Software Engineering Research (April 2022)
    4 projects | news.ycombinator.com | 9 Apr 2022
    There are some points in the middle, but it's rare. I worked on one of these [1]. We've been building the system for just over ten years, and are starting to see some truly killer apps being built on top of it [2, 3].

    While it has some great benefits once you arrive, the upfront costs are enormous. You basically need to find a funding source (or sources) that will pay for this product while you're building it. Also, in order for the research payoff to be worth it, you need both the product itself, and subsequent innovations it enables, to be research-worthy. Not all areas of research can support this. On top of it all, even when you do this, you'll still spend years of effort in activities that are essentially not research. You're basically responsible for all of your own customer support, sales, marketing, etc.---like a startup, but without the financial upside if you succeed. Yes there is recognition and so on, but the payoffs aren't as dramatic. Most people aren't ready to commit to this path.

    Keep in mind that you can't build this in 5 years either. So a single generation of PhD students can't get it done. The only reason we were successful is because the key staff on the project stuck around for 5+ years after their PhDs because we all believed in doing the work.

    Given all that, I don't hold it against people at all who just want to build prototypes and then move on to the next thing. It's way less risky and higher reward relative to the costs.

    [1]: https://legion.stanford.edu/

    [2]: https://flexflow.ai/

    [3]: https://developer.nvidia.com/cunumeric

  • Terra: Low-level system programming language meta-programmed from Lua
    4 projects | news.ycombinator.com | 30 May 2021
    Note that I changed the variable name to clarify that only the lexical scope matters (i.e., "x" is a symbol passed to the function as argument y).

    You should be able to create towers of languages in Terra. I'm not sure if anyone really does more than 2 levels in practice, but most of the common Terra DSLs are basically written as code generators on top of Terra language expressions.

    See e.g. the Regent code generator. Here's an example of some nested metaprogramming---not with a nested language or macros, but with an escape that calls a Lua function to generate more code based on the type of the argument:


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Basic legion repo stats
4 days ago

StanfordLegion/legion is an open source project licensed under Apache License 2.0 which is an OSI approved license.

The primary programming language of legion is C++.

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