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FuXi
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xsimd
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treeedb
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cccl reviews and mentions
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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.
Stats
NVIDIA/cccl is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.
The primary programming language of cccl is C++.
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