cccl
hashbrown
cccl | hashbrown | |
---|---|---|
2 | 22 | |
815 | 2,270 | |
13.1% | 1.4% | |
9.8 | 8.2 | |
2 days ago | 4 days ago | |
C++ | Rust | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
cccl
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GDlog: A GPU-Accelerated Deductive Engine
https://github.com/topics/datalog?l=rust ... Cozo, Crepe
Crepe: https://github.com/ekzhang/crepe :
> Crepe is a library that allows you to write declarative logic programs in Rust, with a Datalog-like syntax. It provides a procedural macro that generates efficient, safe code and interoperates seamlessly with Rust programs.
Looks like there's not yet a Python grammar for the treeedb tree-sitter: https://github.com/langston-barrett/treeedb :
> Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages.
Looks like roxi supports n3, which adds `=>` "implies" to the Turtle lightweight RDF representation: https://github.com/pbonte/roxi
FWIW rdflib/owl-rl: https://owl-rl.readthedocs.io/en/latest/owlrl.html :
> simple forward chaining rules are used to extend (recursively) the incoming graph with all triples that the rule sets permit (ie, the “deductive closure” of the graph is computed).
ForwardChainingStore and BackwardChainingStore implementations w/ rdflib in Python: https://github.com/RDFLib/FuXi/issues/15
Fast CUDA hashmaps
Gdlog is built on CuCollections.
GPU HashMap libs to benchmark: Warpcore, CuCollections,
https://github.com/NVIDIA/cuCollections
https://github.com/NVIDIA/cccl
https://github.com/sleeepyjack/warpcore
/? Rocm HashMap
DeMoriarty/DOKsparse:
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Hello World on the GPU (2019)
C++20 would be news to me. Do you have a reference? The closest I can find is https://github.com/NVIDIA/cccl which seems to be atomic and bits of algorithm. E.g. can you point to unordered_map that works on the target?
I think some pieces of libc++ work but don't know of any testing or documentation effort to track what parts, nor of any explicit handling in the source tree.
hashbrown
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OpenD, a D language fork that is open to your contributions
That's because you're looking at a wrapper around the actual implementation (which lives in an external package). Notice "use hashbrown::hash_map as base;" at the top.
There's far more unsafe there: https://github.com/rust-lang/hashbrown/blob/f2e62124cd947b5e...
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I just published my first crate: `identified_vec` - I would love some input! PR's are most welcome.
You might want to check out how popular ecosystem crates do some of these things. Particularly relevant to you are probably crates providing collections, such as smallvec, hashbrown, or indexmap.
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GDlog: A GPU-Accelerated Deductive Engine
https://github.com/topics/swisstable
rust-lang/hashbrown: https://github.com/rust-lang/hashbrown
CuPy has array but not yet hashmaps, or (GPU) SIMD FWICS?
NumPy does SIMD:
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When Zig Outshines Rust – Memory Efficient Enum Arrays
Thanks, great point indeed. I am looking into this https://github.com/rust-lang/hashbrown
The way I think about it -- rather naively, I suppose -- is that I care more about the references cells make to each other than the actual grid of cells displayed on a table. The latter feels more like a "view" of the data than an actual data structure?
This also seems to align with the relative priority of (sorted from highest to lowest): figuring out the order of evaluation, calculating those evaluations, and finally displaying the results of the evaluation
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This Week in Rust # 500!!
updated std's hashbrown dependency to 0.14 which contains some optimizations
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Crust of Rust: std::collections [video]
The std hashmap is actually very fast and uses state of the art hashmap design, namely because it's implemented by hashbrown
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Deduplicating a Slice in Go
I believe Rust uses hashbrown as the underlying implementation now. This just calculates the number of buckets based on the number of items requested:
https://github.com/rust-lang/hashbrown/blob/009969a860290849...
Is it really the case that rehashing can guarantee that the number of buckets allocated will be sufficient for any given set of keys? In principle you could fail to rehash in a way that reduces collisions after k attempted rehashings.
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Blog Post: Rust Is a Scalable Language
For example, since the hashbrown crate is marked with #![no_std], it can be used as a dependency for the standard library.
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Hey Rustaceans! Got a question? Ask here (6/2023)!
To implement something that cannot be expressed in safe Rust, or at least cannot be expressed succinctly in safe Rust, like fundamental datastructures. The hashbrown crate contains a lot of unsafe code, but it's such high quality that it's now the backing implementation for std::collections::HashMap.
- Data-driven performance optimization with Rust and Miri
What are some alternatives?
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU
dashmap - Blazing fast concurrent HashMap for Rust.
cuCollections
meow_hash - Official version of the Meow hash, an extremely fast level 1 hash
DOKSparse - sparse DOK tensors on GPU, pytorch
flamegraph - Easy flamegraphs for Rust projects and everything else, without Perl or pipes <3
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
bumpalo - A fast bump allocation arena for Rust
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
moonfire-nvr - Moonfire NVR, a security camera network video recorder
OpenCL-Wrapper - OpenCL is the most powerful programming language ever created. Yet the OpenCL C++ bindings are cumbersome and the code overhead prevents many people from getting started. I created this lightweight OpenCL-Wrapper to greatly simplify OpenCL software development with C++ while keeping functionality and performance.
aoc - 🎄 My solutions and walkthroughs for Advent of Code and more related stuff.