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TurboPFor: Fastest Integer Compression [![Build Status][travisBadge]][travisLink]
TurboPFor: Fastest Integer Compression
[travisBadge]: https://api.travis-ci.com/powturbo/TurboPFor-Integer-Compression.svg?branch=master
[travisLink]: https://app.travis-ci.com/powturbo/TurboPFor-Integer-Compression
#[![Build Status][travisBadge]][travisLink]
#[travisBadge]: https://api.travis-ci.com/powturbo/TurboPFor-Integer-Compression.svg?branch=master
#[travisLink]: https://app.travis-ci.com/powturbo/TurboPFor-Integer-Compression
======================================
* **TurboPFor: The new synonym for "integer compression"**
* :new: (2019.11) **ALL** functions now available for **64 bits ARMv8 NEON** & **Power9 Altivec**
* **ALL** functions now available for **64 bits ARMv8 NEON** & **Power9 Altivec**
* 100% C (C++ headers), as simple as memcpy. OS:Linux amd64, arm64, Power9, MacOs
* :+1: **Java** Critical Natives/JNI. Access TurboPFor **incl. SIMD/AVX2!** from Java as fast as calling from C
* :sparkles: **FULL** range 8/16/32/64 bits scalar + 16/32/64 bits SIMD functions
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* **Direct/Random Access** : Access any single bit packed entry with **zero decompression**
* **Variable byte**
* Scalar **"Variable Byte"** faster and more efficient than **ANY** other implementation
* :new: (2019.11) SIMD **TurboByte** fastest group varint (16+32 bits) incl. integrated delta,zigzag,...
* :new: (2019.11) **TurboByte+TurboPackV** novel hybrid scheme combining the fastest SIMD codecs.
* SIMD **TurboByte** fastest group varint (16+32 bits) incl. integrated delta,zigzag,...
* **TurboByte+TurboPackV** novel hybrid scheme combining the fastest SIMD codecs.
* **Simple family**
* **Novel** **"Variable Simple"** (incl. **RLE**) faster and more efficient than simple16, simple-8b
* **Elias fano**
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* :green_book:[SPDP is a compression/decompression algorithm for binary IEEE 754 32/64 bits floating-point data](http://cs.txstate.edu/~burtscher/research/SPDPcompressor/)<br />
:green_book:[ SPDP - An Automatically Synthesized Lossless Compression Algorithm for Floating-Point Data](http://cs.txstate.edu/~mb92/papers/dcc18.pdf) + [DCC 2018](http://www.cs.brandeis.edu//~dcc/Programs/Program2018.pdf)
Last update: 20 Aug 2020
Last update: 11 Nov 2021
## APPENDIX: icbench Integer Compression Benchmark