WithFastOneParityMatrix will switch the matrix to a simple xor if there is only one parity shard.
The PAR1 matrix already has this property so it has little effect there.
* Optimize pure Go version.
* Update docs. Add Go 1.12 CI
* Avoid dst bounds check when using noasm ~ 40-50% faster.
* Convert multiply table to a slice whenever used.
* Split on 32 byte boundaries instead of 16 byte.
The performance on AVX512 has been accelerated for Intel CPUs. This gives speedups on a per-core basis of up to 4x compared to AVX2 as can be seen in the following table:
```
$ benchcmp avx2.txt avx512.txt
benchmark AVX2 MB/s AVX512 MB/s speedup
BenchmarkEncode8x8x1M-72 1681.35 4125.64 2.45x
BenchmarkEncode8x4x8M-72 1529.36 5507.97 3.60x
BenchmarkEncode8x8x8M-72 791.16 2952.29 3.73x
BenchmarkEncode8x8x32M-72 573.26 2168.61 3.78x
BenchmarkEncode12x4x12M-72 1234.41 4912.37 3.98x
BenchmarkEncode16x4x16M-72 1189.59 5138.01 4.32x
BenchmarkEncode24x8x24M-72 690.68 2583.70 3.74x
BenchmarkEncode24x8x48M-72 674.20 2643.31 3.92x
```
* Experimental Cauchy Matrix
Experimental support for Cauchy style matrix
http://web.eecs.utk.edu/~plank/plank/papers/CS-05-569.pdf
All matrices appear reversible.
* Remove Go 1.5 and 1.6 from CI tests.
* Fix comment.
* Increase max number of goroutines+docs.
* Add support for arm64 using NEON instructions
Specifically using the PMULL/PMULL2 polynomial multiplication instructions followed by a reduction step (actually two steps).
* Add ARM performance numbers
* Formatting for performance table
* Refactoring of NEON version and 256-bit wide version
* Expand test slice beyond 32 (for AVX2 and NEON) and test galMulSliceXor explicitly.
* Fix ARM code with missing function.
* Fix missing newline
* Add ReconstructData interface method to allow reconstruction of any missing data shards
* Add support for just reconstructing data shards only to SteamEncoder.Reconstruct()
* Add options
Make constants changeable as options.
The API remains backwards compatible.
* Update documentation.
* Fix line endings
* fmt
* fmt
* Use functions for parameters.
Much neater.
Vitaliy Filippov