- hashtable-bench VS eytzinger
- hashtable-bench VS llvm-project
- hashtable-bench VS gtl
- hashtable-bench VS CppPerformanceBenchmarks
- hashtable-bench VS dense_hash_map
- hashtable-bench VS qc-hash
- hashtable-bench VS fph-table
- hashtable-bench VS google-sparsehash
- hashtable-bench VS sparsepp
- hashtable-bench VS flat_hash_map
Hashtable-bench Alternatives
Similar projects and alternatives to hashtable-bench
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eytzinger
Cache-friendly associative STL-like container with an Eytzinger (BFS) layout for C++
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llvm-project
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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fph-table
Flash Perfect Hash Table: an implementation of a dynamic perfect hash table, extremely fast for lookup
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Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better hashtable-bench alternative or higher similarity.
hashtable-bench reviews and mentions
Posts with mentions or reviews of hashtable-bench.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-16.
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Updating map_benchmarks: Send your hashmaps!
I believe that when the number of elements is larger than 4 (a rough estimation), the associative linear table won't be faster than ska::flat_hash_map or fph-table with the identity hash function. If you look at the benchmark results, you will find that the average lookup time may well be less than 2 nanoseconds when item number is smaller than one thousand on morden CPUs. For these two hash tables, there are only about ten instructions in the critical path of lookup. And this should be faster than the linear search in a associative table, where there are a lot of branches and comparing instructions. However, you should benchmark it youself to get the real conclusion. This is just a simple analysis on paper from mine. By the way, the associative table can be faster if it is implemented with hardware circuits or SIMD instructions.
Stats
Basic hashtable-bench repo stats
1
9
0.0
7 months ago
The primary programming language of hashtable-bench is Jupyter Notebook.
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