unordered
gtl
unordered | gtl | |
---|---|---|
10 | 5 | |
53 | 93 | |
- | - | |
9.2 | 7.1 | |
7 days ago | about 1 month ago | |
C++ | C++ | |
Boost Software License 1.0 | Apache License 2.0 |
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unordered
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Effortless Performance Improvements in C++: std::unordered_map
We added two new benchmarks to Boost.Unordered, word_count and word_size, and the second one ends up testing a small hash table (114 elements in 64 bit, even fewer in 32 bit because we use a smaller input file there.)
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Inside boost::unordered_flat_map
Hi, we have seen similar gains with __forceinline in MSVC, looks like this compiler is not particularly aggressive at inlining. Could you please file an issue at Boost.Unordered repo so what we don't forget? Thank you
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Boost 1.81 will have boost::unordered_flat_map...
You can request a feature be added by opening an issue in https://github.com/boostorg/unordered.
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boost::unordered map is a new king of data structures
Here are the results of our uint32.cpp synthetic benchmark under VS2022 Release x64:
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Advancing the state of the art for <code>std::unordered_map</code> implementations
You can run these benchmarks yourself from the Boost develop branch, they are in the Unordered repo. Since Unordered is header-only, there should be need to build Boost but you do need to bootstrap and then run b2 headers to create the symlinks in boost/.
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New Boost.Unordered containers have BIG improvements!
Make sure you checkout the preview.md for instructions on how to build nightly Boost in a way that's non-intrusive to your system and works with CMake.
gtl
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Inside boost::concurrent_flat_map
gtl library author here. Very nice writeup! Reading it made me think, and I believe I know why gtl::parallel_flat_hash_map performs comparatively worse for high-skew scenarios (just pushed a fix in gtl).
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Boost 1.81 will have boost::unordered_flat_map...
I do this as well in my phmap and gtl implementations. It makes the tables look worse in benchmarks like the above, but prevents really bad surprises occasionally.
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Comprehensive C++ Hashmap Benchmarks 2022
Thanks a lot for the great benchmark, Martin. Glad you used different hash functions, because I do sacrifice some speed to make sure that the performance of my hash maps doesn't degrade drastically with poor hash functions. Happy to see that my phmap and gtl (the C++20 version) performed well.
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It is now trivial to cache pure functions with highly efficient, concurrent cache.
This is very easy to do with the latest version of gtl. And it is extremely efficient, as the caching mechanism uses the parallel hashmap, which internally is divided into N submaps each with its own mutex, reducing mutex contention to a minimum.
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Updating map_benchmarks: Send your hashmaps!
AFAIK sparsepp has been dropped entirely in favor of the containers in GTL: https://github.com/greg7mdp/gtl
What are some alternatives?
flat_hash_map - A very fast hashtable
eytzinger - Cache-friendly associative STL-like container with an Eytzinger (BFS) layout for C++
FetchBoostContent - CMake FetchContent for Boost libraries
fph-table - Flash Perfect Hash Table: an implementation of a dynamic perfect hash table, extremely fast for lookup
unordered_dense - A fast & densely stored hashmap and hashset based on robin-hood backward shift deletion
Google Test - GoogleTest - Google Testing and Mocking Framework
Hopscotch map - C++ implementation of a fast hash map and hash set using hopscotch hashing
boostdep - A tool to create Boost module dependency reports
google-sparsehash - Clone of google-sparsehash
emhash - Fast and memory efficient c++ flat hash map/set
libcudacxx - [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl