Readme
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README.md
12
README.md
@ -63,7 +63,7 @@ TurboPFor: Fastest Integer Compression [ 64k *|
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|76345136| 19.1| 6.11|245|653|**VSimple**|
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|95915096|24.0| 7.67| 212|958|Simple-8b|
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|91956582| 25.5| 8.15|65|2141|[QMX](#QMX) 64k *|
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|95915096|24.0| 7.67| 212|958|Simple-8b|
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|99910930| 25.0| 7.99|**3290**|**2968**|**TurboPackV**|
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|99910930| 25.0| 7.99|2122|2347|**TurboPack**|
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|99910930| 25.0| 7.99|2105|2219|**TurboFor**|
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@ -88,7 +88,7 @@ CPU: Skylake i7-6700 w/ only 3.7GHz gcc 6.2 single thread
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|400000000| 100.00| 32.00| 2240|2237|Copy|
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| | | | N/A | N/A |EliasFano|
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(*) suitable for large block size
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(*) optimzed for large block size
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MI/s: 1.000.000 integers/second. **1000 MI/s = 4 GB/s**<br>
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**#BOLD** = pareto frontier.<br>
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@ -105,7 +105,7 @@ TurboPForDA,TurboForDA: Direct Access is normally used when accessing few indivi
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|Size |Ratio %|Bits/Integer|C Time MI/s|D Time MI/s|Function |
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|-----------:|------:|-----:|-------:|-------:|---------------------|
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| 3.321.663.893| 13.9| 4.44|**328**|**1452**|**TurboPFor**|
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| 3.337.758.854| 14.0| 4.47| 5| 513|PC.OptPFD|
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| 3.339.730.557| 14.0| 4.47| 8| 536|PC.OptPFD|
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| 3.350.717.959| 14.0| 4.48|**365**|**1744**|**TurboPFor256**|
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| 3.501.671.314| 14.6| 4.68| 314| 710|**VSimple**|
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| 3.766.174.764| 15.8| 5.04|**618**| 712|**EliasFano**|
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@ -115,7 +115,7 @@ TurboPForDA,TurboForDA: Direct Access is normally used when accessing few indivi
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| 4.953.768.342| 20.7| 6.63|1419|1513|**TurboPack**|
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| 4.955.740.045| 20.7| 6.63|**1766**|**2567**|**TurboPackV**|
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| 5.203.353.057| 21.8| 6.96|1560|1807|FP.SIMDPackD1|
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| 5.393.769.503| 22.5| 7.21|**2260.63**|**2715.30**|**TurboPackV256**|
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| 5.393.769.503| 22.5| 7.21|**2261**|**2715**|**TurboPackV256**|
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| 6.221.886.390| 26.0| 8.32|1667|1738|**TurboFor**|
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| 6.221.886.390| 26.0| 8.32|1661| 565|**TurboForDA**|
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| 6.699.519.000| 28.0| 8.96| 472| 495|FP.Vbyte|
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@ -332,4 +332,4 @@ header files to use with documentation:<br />
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- [Small Polygon Compression](http://abhinavjauhri.com/publications/dcc_poster_2016.pdf) + [code](https://github.com/ajauhri/bignum_compression)
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- [Parallel Graph Analysis (Lecture 18)](http://www.cs.rpi.edu/~slotag/classes/FA16/) + [code](http://www.cs.rpi.edu/~slotag/classes/FA16/handson/lec18-comp2.cpp)
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Last update: 03 JAN 2017
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Last update: 04 JAN 2017
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