cccl
NMT4RDFS
cccl | NMT4RDFS | |
---|---|---|
2 | 1 | |
815 | 9 | |
13.1% | - | |
9.8 | 10.0 | |
2 days ago | about 5 years ago | |
C++ | Python | |
GNU General Public License v3.0 or later | MIT License |
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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.
NMT4RDFS
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GDlog: A GPU-Accelerated Deductive Engine
https://www.researchgate.net/figure/Parameter-Settings-of-th...
"Deep learning for noise-tolerant RDFS reasoning" (2018) > NMT4RDFS: http://www.semantic-web-journal.net/content/deep-learning-no... :
> This paper documents a novel approach that extends noise-tolerance in the SW to full RDFS reasoning. Our embedding technique— that is tailored for RDFS reasoning— consists of layering RDF graphs and encoding them in the form of 3D adjacency matrices where each layer layout forms a graph word. Each input graph and its entailments are then represented as sequences of graph words, and RDFS inference can be formulated as translation of these graph words sequences, achieved through neural machine translation. Our evaluation on LUBM1 synthetic dataset shows 97% validation accuracy and 87.76% on a subset of DBpedia while demonstrating a noise-tolerance unavailable with rule-based reasoners.
NMT4RDFS: https://github.com/Bassem-Makni/NMT4RDFS
...
A human-generated review article with an emphasis on standards; with citations to summarize:
"Why do we need SWRL and RIF in an OWL2 world?" [with SPARQL CONSTRUCT, SPIN, and now SHACL]
What are some alternatives?
stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU
treeedb - Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages.
cuCollections
gdlog
DOKSparse - sparse DOK tensors on GPU, pytorch
warpcore - A Library for fast Hash Tables on GPUs
Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System
ascent - logic programming in Rust
oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces
virtuoso-opensource - Virtuoso is a high-performance and scalable Multi-Model RDBMS, Data Integration Middleware, Linked Data Deployment, and HTTP Application Server Platform
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.