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README.md

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* **TurboPFor: The synonym for "integer compression"**
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* **ALL** functions available for **AMD/Intel**, **64 bits ARMv8 NEON** Linux+MacOS/M1 & **Power9 Altivec**
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* 100% C (C++ headers), as simple as memcpy. OS:Linux amd64, arm64, Power9, MacOs (Amd/intel + Apple M1),
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* :new:(2023.04) **Rust** Bindings. Access TurboPFor **incl. SSE/AVX2/Neon!** from Rust
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* **Rust** Bindings. Access TurboPFor **incl. SSE/AVX2/Neon!** from Rust
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* :+1: **Java** Critical Natives/JNI. Access TurboPFor **incl. SSE/AVX2/Neon!** from Java as fast as calling from C
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* :sparkles: **FULL** range 8/16/32/64 bits scalar + 16/32/64 bits SIMD functions
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* No other "Integer Compression" compress/decompress faster
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* **Variable byte**
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* Scalar **"Variable Byte"** faster and more efficient than **ANY** other implementation
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* SIMD **TurboByte** fastest group varint (16+32 bits) incl. integrated delta,zigzag,xor,...
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* :new:(2023.03)**TurboBitByte** novel hybrid scheme combining the fastest SIMD codecs TurboByte+TurboPack.
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* **TurboBitByte** novel hybrid scheme combining the fastest SIMD codecs TurboByte+TurboPack.
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Compress considerably better and can be 3 times faster than streamvbyte
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* **Simple family**
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* **Novel** **"Variable Simple"** (incl. **RLE**) faster and more efficient than simple16, simple-8b
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* **Elias fano**
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* Fastest **"Elias Fano"** implementation w/ or w/o SIMD/AVX2
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* :new:(2023.03)**TurboVLC** novel variable length encoding for large integers
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* **TurboVLC** novel variable length encoding for large integers
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with exponent + variable bit mantissa
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* :new:(2023.03)**Binary interpolative coding** : fastest implementation
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* **Binary interpolative coding** : fastest implementation
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+ **Transform**
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* Scalar & SIMD Transform: Delta, Zigzag, Zigzag of delta, XOR,
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* :new:(2023.03) Transpose/Shuffle with integrated Xor and zigzag delta
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* :new:(2023.03) 2D/3D/4D transpose
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* Transpose/Shuffle with integrated Xor and zigzag delta
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* 2D/3D/4D transpose
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* **lossy** floating point compression with *TurboPFor* or [TurboTranspose](https://github.com/powturbo/TurboTranspose)+lz77/bwt
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+ :new:(2023.03)**IC Codecs** transpose/rle + general purpose compression with lz4,zstd,turborc (range coder),bwt...
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+ **IC Codecs** transpose/rle + general purpose compression with lz4,zstd,turborc (range coder),bwt...
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* **Floating Point Compression**
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* Delta/Zigzag + improved gorilla style + (Differential) Finite Context Method FCM/DFCM floating point compression
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* Using **TurboPFor**, unsurpassed compression and more than 8 GB/s throughput
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* Point wise relative error bound **lossy** floating point compression
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* **TurboFloat** novel efficient floating point compression using TurboPFor
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* :new:(2023.03)**TurboFloat LzXor** novel floating point lempel-ziv compression
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* :new:(2023.06) _Float16 16 bits floating point support
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* :new:(2023.06) float 16/32/64 bits quantization with variable quantization bit size.
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* **TurboFloat LzXor** novel floating point lempel-ziv compression
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* _Float16 16 bits floating point support
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* float 16/32/64 bits quantization with variable quantization bit size.
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* **Time Series Compression**
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* **Fastest Gorilla** 16/32/64 bits style compression (**zigzag of delta** + **RLE**).
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* can compress timestamps to only 0.01%. Speed > 10 GB/s compression and > 13 GB/s decompress.
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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 />
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: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)
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Last update: 10 JUN 2023
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Last update: 12 APR 2026
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