version2
chapel
version2 | chapel | |
---|---|---|
6 | 26 | |
1,223 | 1,741 | |
1.6% | 1.0% | |
5.8 | 10.0 | |
3 months ago | 4 days ago | |
C++ | Chapel | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
version2
-
SIMD intrinsics and the possibility of a standard library solution
Vector class library - 938 GH stars
- Checking for the absence of a string, naive AVX-512 edition
-
-🎄- 2022 Day 4 Solutions -🎄-
Most of the time is spent parsing, but this problem lends itself nicely to a SIMD formulation, which using vectorclass doesn't even require detailed knowledge of the intrinsics. Hot runs take ~14 µs on a Core i9-12900K, including I/O. Full code is (here)[https://github.com/ahans/aoc2022/blob/main/cpp/day04.cc], the interesting part is this, where we process 32 elements at once:
- Significantly faster quicksort using SIMD
- Parsing JSON faster with Intel AVX-512
- What do you think is faster for batch-processing a lot of "double-type" arithmetic?
chapel
-
Introduction to GPU Programming in Chapel
Thanks, @subharmonicon!
While Chapel can run on many different systems, the main goal is making HPC programming much easier. Therefore, we are currently focusing on hardware that you can find in HPC systems (NVIDIA, AMD and Intel). Metal doesn't fall into that category, unfortunately. So far, the name came up infrequently in our discussions IIRC (especially targetting SPIRV), but we haven't heard from any [potential] user who may be interested in it. I would encourage you or anybody else interested in it to create an issue asking for the feature: https://github.com/chapel-lang/chapel/issues/new. Seeing public interest in that direction can change our prioritization.
One thing that I wanted to add that's not in the blogpost is the "cpu-as-device" mode. With that mode, you can use any machine, even one without a GPU, to write applications using Chapel's GPU features. That mode is for those who want to do initial development/debugging on their personal laptops before putting their application on an HPC system. In other words, while you can't use Metal directly, you can still write GPU-enabled applications in your Mac using Chapel, if the end goal is to run it on an HPC system. More details on cpu-as-device: https://chapel-lang.org/docs/main/technotes/gpu.html#cpu-as-...
-
Mojo is now available on Mac
Agreed. Here is a serious contender[0] minus all the hype and the $100M in VC money. You would expect a minimum of interest given how Mojo is received by the community, but not really in practice.
[0]: https://chapel-lang.org/
- Chapel 1.32.0 Released
-
Rust vs. Julia in Scientific Computing
Cray is pushing their own language as well, Chapel.
https://chapel-lang.org/
As for Julia on Cray,
"Julia — The Newest Petaflop Family Language We Have Started to Love"
https://www.avenga.com/magazine/julia-programming-language
> Julia is one of the few languages that are in the so-called PetaFlop family; the other languages are C, C++ and Fortrant. It achieved 1.54 petaflops with 1.3 million threads on the Cray XC40 supercomputer.
-
What languages are we missing on devenv.sh?
https://chapel-lang.org if possible, Nix was also recently mentioned in Chapel Workshop https://chapel-lang.org/CHIUW2023.html https://github.com/twesterhout/nix-chapel
- Chapel: Programming Language for Parallel Computing
-
Getting Past “Ampersand-Driven Development” in Rust
See Val for a possible step into that direction.
https://www.val-lang.dev/
Or how the Chapel language for HPC is going at it,
https://chapel-lang.org/
-
Ask HN: How do I get the most benefit out of my programming language?
I suggest posting to a PLT focused resource, such as http://lambda-the-ultimate.org/
That said, a bit confused about the languages you reference in this context (Python, C#, JS) - didn't see any mention here or at your github repo of languages (some relatively ancient) in this space designed.
Sandia: Programming Languages for HPC [high performance computing] - is there life after MPI?
https://www.sandia.gov/app/uploads/sites/179/2022/04/SOS10-T...
Chapel:
https://chapel-lang.org/
https://en.wikipedia.org/wiki/Category:Array_programming_lan...
-
Twelve Days of Chapel: Advent of Code 2022
We needed the implicit conversion to `uint` in order for the overload resolution rules to make reasonable choices when faced with binary overloads for all of the numeric types. The document I linked talks through the examples. The case we were facing is something that we shared with `C#` -- in `C#` terms, if I make overloads for `f` for all numeric types (see https://github.com/chapel-lang/chapel/blob/main/test/types/coerce/allNumericsBinary.cs if you want to know exactly what I am talking about), then `f( myInt, myUlong )` runs `f(float, float)` which makes no sense. Especially if you care about numerical accuracy or program performance.
-
-🎄- 2022 Day 8 Solutions -🎄-
Code | Blog Walkthrough
What are some alternatives?
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
zls - A Zig language server supporting Zig developers with features like autocomplete and goto definition
aoc22 - Advent of Code solutions for 2022 (in Python)
ATS-Postiats - ATS2: Unleashing the Potentials of Types and Templates
advent2022
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
adventOfCode2022
hacktoberfest-swag-list - Multiple companies go above and beyond for Hacktoberfest, and this repo tries to list them all.
simde - Implementations of SIMD instruction sets for systems which don't natively support them.
gsoc-organizations - A site for viewing and analyzing the info of the organizations participating in Google Summer of Code.
Day4 - My (messy) Python3 solution for day4's puzzle.
jmurmel - A standalone or embeddable JVM based interpreter/ compiler for Murmel, a single-namespace Lisp dialect inspired by Common Lisp