Hopac
futhark
Hopac | futhark | |
---|---|---|
3 | 52 | |
518 | 2,293 | |
0.0% | 1.8% | |
0.0 | 9.8 | |
about 2 years ago | 5 days ago | |
F# | Haskell | |
MIT License | ISC License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Hopac
-
Is Parallel Programming Hard, and, If So, What Can You Do About It? v2023.06.11a
https://github.com/Hopac/Hopac is such an impressive piece of software. Too bad it never really took off like it deserved but with more popular competition like rx or just tasks/async (which is enough for most stuff) pretty unavoidable.
-
How do I get around the lack of MailboxProcessor in Fable?
Found this article, it didn't even occur to me to look for a channel library in JS. This is definitely the direction to go in. Incidentally, Hopac is the most underrated of all F# libraries, just sayin'.
-
Learning about typed languages, static analysis, and tools
3) This third part is the hardest, and that is to get proficient at concurrency itself. For this I had to study various libraries like Rx, but what I settled on after a lot of experimentation was to first compile the various passes to streams of lazy promises. For languages in particular, they have a top down structure and what is needed is to employ a lot of diffing in order to reuse old results. The difficult part is to organize all of this. I can't praise a library like Hopac enough, but even with it, it still took me months to get a grasp on the way the editor support segments should be designed. At the time of writing, I am a day away of finalizing what will be the true design of the language server. It is not that the end result is complex, this latest redesign of the last 1.5 weeks is in fact significantly simpler than what I had before, but concurrency requires different design principles than sequential programming and getting used to the new domain takes an active effort.
futhark
-
What downsides exist to Futhark? Seems almost too good to be true?
Why Futhark? (futhark-lang.org)
-
GPU Programming: When, Why and How?
There is no on-going work to support Metal apart from the work done by Miles. There's an old issue about it: https://github.com/diku-dk/futhark/issues/853#issuecomment-5...
-
Is Parallel Programming Hard, and, If So, What Can You Do About It? v2023.06.11a
Functional programming can be a great way to handle parallel programming in a sane way. See the Futhark language [1], for example, that accepts high-level constructs like map and convert them to the appropriate machine code, either on the CPU or the GPU.
[1] https://futhark-lang.org/
-
Is there a programming language that will blow my mind?
Futhark - use a functional language to program the gpu
-
Does This Language Exist?
You might want to look into Futhark, although it's mainly designed for writing GPU code.
- Learn WebGPU
-
Two-tier programming language
Futhark https://futhark-lang.org/
- Best book on writing an optimizing compiler (inlining, types, abstract interpretation)?
- Functional GPU programming: what are alternatives or generalizations of the idea of "number of cycles must be known at compile time"?
- APL: An Array Oriented Programming Language (2018)
What are some alternatives?
ThreadPool - A simple C++11 Thread Pool implementation
arrayfire-rust - Rust wrapper for ArrayFire
c_playground - C Playground
dex-lang - Research language for array processing in the Haskell/ML family
ideas5 - Batch 5 of Ideas for Computing
Halide - a language for fast, portable data-parallel computation
swift-corelibs-libdispatch - The libdispatch Project, (a.k.a. Grand Central Dispatch), for concurrency on multicore hardware
julia - The Julia Programming Language
vscode-extension-samples - Sample code illustrating the VS Code extension API.
BQN - An APL-like programming language. Self-hosted!
express-c - Fast, unopinionated, minimalist web framework for C
kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.