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Top 9 C++ parallel-programming Projects
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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parallel-hashmap
A family of header-only, very fast and memory-friendly hashmap and btree containers.
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SaaSHub
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LLVM-Guide
LLVM (Low Level Virtual Machine) Guide. Learn all about the compiler infrastructure, which is designed for compile-time, link-time, run-time, and "idle-time" optimization of programs. Originally implemented for C/C++ , though, has a variety of front-ends, including Java, Python, etc.
https://github.com/exaloop/codon/blob/develop/LICENSE
Here are some others: https://github.com/search?q=%22Business+Source+License%22+%2...
For parallel programming nowadays, personally I reach for C++ Taskflow when I really care about performance, or a mix of core.async and running multiple load balanced instances when I’m doing more traditional web backend stuff in Clojure.
Project mention: The One Billion Row Challenge in CUDA: from 17 minutes to 17 seconds | news.ycombinator.com | 2024-04-13Standard library maps/unordered_maps are themselves notoriously slow anyway. A sparse_hash_map from abseil or parallel-hashmaps[1] would be better.
[1] https://github.com/greg7mdp/parallel-hashmap
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:
Project mention: Ugrep – a more powerful, ultra fast, user-friendly, compatible grep | news.ycombinator.com | 2023-12-30Also look at https://github.com/stealth/grab from Sebastian Krahmer.
Project mention: Huge LibRapid Update -- New Features, Performance Improvements and Bug Fixes | /r/cpp | 2023-08-04In addition to all of these changes, I used LibRapid and Surge to write a simple Flappy Bird genetic AI as a proof of concept. The code runs well on all platforms and can simulate over 20,000 birds without too much trouble. If you want to check it out, here's the GitHub page: https://github.com/Pencilcaseman/FlappyBirdAI
C++ parallel-programming related posts
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Improvements of Clojure in his time
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Taskflow: A General-Purpose Parallel and Heterogeneous Task Programming System
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How to go from intermediate to advance in C++?
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gcl v1.1 released - Graph Concurrent Library for C++
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std::execution from the metal up - Paul Bendixen - Meeting C++ 2022
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Proper abstraction for this?
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Fortran on GPU
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A note from our sponsor - SaaSHub
www.saashub.com | 10 May 2024
Index
What are some of the best open-source parallel-programming projects in C++? This list will help you:
Project | Stars | |
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1 | codon | 13,861 |
2 | Taskflow | 9,588 |
3 | parallel-hashmap | 2,331 |
4 | cccl | 815 |
5 | oneMKL | 570 |
6 | grab | 257 |
7 | CPURasterizer | 155 |
8 | librapid | 153 |
9 | LLVM-Guide | 111 |
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