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2017-01-03 09:51:09 +01:00
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@ -101,7 +101,7 @@ TurboPForDA,TurboForDA: Direct Access is normally used when accessing few indivi
- gov2.sorted from [DocId data set](#DocId data set) Block size=128 (lz4+blosc+VSimple w/ 64Ki) - gov2.sorted from [DocId data set](#DocId data set) Block size=128 (lz4+blosc+VSimple w/ 64Ki)
./icbench -fS gov2.sorted ./icbench -fS -r gov2.sorted
|Size |Ratio %|Bits/Integer|C Time MI/s|D Time MI/s|Function | |Size |Ratio %|Bits/Integer|C Time MI/s|D Time MI/s|Function |
@ -185,12 +185,14 @@ using [900.000 multicore servers](https://www.cloudyn.com/blog/10-facts-didnt-kn
*make AVX2=1* *make AVX2=1*
### Testing: ### Testing:
##### - Synthetic data: ##### - Synthetic data (use ZIPF parameter):
+ benchmark "integer compression" functions (use ZIPF parameter)<br /> + benchmark groups of "integer compression" functions <br />
./icbench -eBENCH -a1.2 -m0 -M255 -n100M ZIPF ./icbench -eBENCH -a1.2 -m0 -M255 -n100M ZIPF
./icbench -eBENCH/BITPACK/VBYTE -a1.2 -m0 -M255 -n100m ZIPF ./icbench -eBITPACK/VBYTE -a1.2 -m0 -M255 -n100m ZIPF
>*Type "icbench -l2" for a list*
>*-zipfian distribution alpha = 1.2 (Ex. -a1.0=uniform -a1.5=skewed distribution)<br /> >*-zipfian distribution alpha = 1.2 (Ex. -a1.0=uniform -a1.5=skewed distribution)<br />
@ -204,7 +206,14 @@ using [900.000 multicore servers](https://www.cloudyn.com/blog/10-facts-didnt-kn
##### - Data files: ##### - Data files:
- Sorted data file Benchmark (file from [DocId data set](#DocId data set)) - Raw 32 bits binary data file (see option "-f" for other formats)
./icbench file
- Multiblock sorted (unique) data file like gov2 file from [DocId data set](#DocId data set)
./icbench -fS -r gov2.sorted ./icbench -fS -r gov2.sorted
@ -323,4 +332,4 @@ header files to use with documentation:<br />
- [Small Polygon Compression](http://abhinavjauhri.com/publications/dcc_poster_2016.pdf) + [code](https://github.com/ajauhri/bignum_compression) - [Small Polygon Compression](http://abhinavjauhri.com/publications/dcc_poster_2016.pdf) + [code](https://github.com/ajauhri/bignum_compression)
- [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) - [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)
Last update: 02 JAN 2017 Last update: 03 JAN 2017