Update README.md

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catid 2017-05-28 15:17:38 -07:00 committed by GitHub
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@ -92,13 +92,13 @@ Leopard Decoder(8.192 MB in 128 pieces, 128 losses): Input=482.53 MB/s, Output=4
For 128 data pieces of input and 128 data pieces of redundancy:
Fastest to encode: Leopard (1.2 GB/s)
Distant second-place: WH256 (660 MB/s), FEC-AL (515 MB/s)
Slowest encoders: Longhair, CM256
+ Fastest to encode: Leopard (1.2 GB/s)
+ Distant second-place: WH256 (660 MB/s), FEC-AL (515 MB/s)
+ Slowest encoders: Longhair, CM256
Fastest to decode: WH256 (830 MB/s)
Distant second-place: Leopard (482 MB/s)
Slowest decoders: FEC-AL, CM256, Longhair
+ Fastest to decode: WH256 (830 MB/s)
+ Distant second-place: Leopard (482 MB/s)
+ Slowest decoders: FEC-AL, CM256, Longhair
There are a lot of variables that affect when each of these libraries should be used.
Each one is ideal in a different situation, and no one library can be called the best overall.
@ -324,8 +324,8 @@ Some papers are mirrored in the /docs/ folder.
Inspired by discussion with:
Sian-Jhen Lin <sjhenglin@gmail.com> : Author of {1} {3}, basis for Leopard
Bulat Ziganshin <bulat.ziganshin@gmail.com> : Author of FastECC
Yutaka Sawada <tenfon@outlook.jp> : Author of MultiPar
+ Sian-Jhen Lin <sjhenglin@gmail.com> : Author of {1} {3}, basis for Leopard
+ Bulat Ziganshin <bulat.ziganshin@gmail.com> : Author of FastECC
+ Yutaka Sawada <tenfon@outlook.jp> : Author of MultiPar
This software was written entirely by myself ( Christopher A. Taylor mrcatid@gmail.com ). If you find it useful and would like to buy me a coffee, consider tipping.