Vitaliy Filippov
b933ef1add
Implement jerasure algorithm of matrix generation for interoperability
2022-08-15 14:30:30 +03:00
7b7dbe6919
Improve fwht speed ( #198 )
...
Improve fwht speed
* Send `*[65536]ffe` instead of slice, so 16 bit lookups can be done without bounds checks.
* Unroll fwht4
* Move `s2` out of loop.
* Load values instead of modifying pointers.
```
BenchmarkDecode1K/16x16-32 1029 1175899 ns/op 27.87 MB/s 16410 B/op 17 allocs/op
BenchmarkDecode1K/32x32-32 1023 1184744 ns/op 55.32 MB/s 32794 B/op 33 allocs/op
BenchmarkDecode1K/64x64-32 979 1240467 ns/op 105.66 MB/s 65701 B/op 65 allocs/op
BenchmarkDecode1K/128x128-32 922 1314928 ns/op 199.36 MB/s 131703 B/op 129 allocs/op
BenchmarkDecode1K/256x256-32 792 1530508 ns/op 342.56 MB/s 263548 B/op 258 allocs/op
```
After:
```
BenchmarkDecode1K/16x16-32 1503 798172 ns/op 41.05 MB/s 16408 B/op 17 allocs/op
BenchmarkDecode1K/32x32-32 1483 804507 ns/op 81.46 MB/s 32792 B/op 33 allocs/op
BenchmarkDecode1K/64x64-32 1408 852737 ns/op 153.71 MB/s 65658 B/op 65 allocs/op
BenchmarkDecode1K/128x128-32 1315 917534 ns/op 285.70 MB/s 131513 B/op 129 allocs/op
BenchmarkDecode1K/256x256-32 1069 1115760 ns/op 469.89 MB/s 263689 B/op 258 allocs/op
```
2022-07-29 16:26:51 +02:00
9c824807d6
docs: Fix comments ( #195 )
2022-07-27 14:18:58 +02:00
77188e96d2
Add GF16 Split/Join ( #194 )
...
* Add GF16 Split/Join
Also check if we have enough shards when reconstructing.
2022-07-26 18:14:03 +02:00
3a82d28edb
Add GF16 AVX2, AVX512 and SSSE3 ( #193 )
...
* Add GF16 AVX2
* Add SSSE3 fallback.
* Fix reconstruction was skipped if first shard was empty.
* Combine lookups in pure Go
* Faster xor on pure Go.
* Add 4way butterfly AVX2.
* Add fftDIT4 avx2. Add avx512 version. Add noescape.
* Remove +build space. Do size varied 800x200 bench.
* Use VPTERNLOGD for avx512.
* Remove refMulAdd inner loop bounds checks. ~10-20% faster
2022-07-26 12:37:28 +02:00
49be604db0
Add an efficient implementation of shard counts up to 65536 ( #191 )
...
This is a O(n*log n) implementation of Reed-Solomon
codes, ported from the C++ library https://github.com/catid/leopard .
The implementation is based on the paper
"Novel Polynomial Basis with Fast Fourier Transform
and Its Application to Reed-Solomon Erasure Codes"
Several TODOs are left for future commits:
- Performance optimizations, in particular SIMD and multiple goroutines
- Documentation
- Detailed Tests
- Merging of reedSolomonFF16 and reedSolomon types
- Turn the straight C++ port into more idiomatic Go
This change also bumps one race testing timeout, to ensure adequate
time on CI.
2022-07-21 14:27:10 +02:00
6ef9059245
Add codeql ( #192 )
2022-07-13 16:25:26 +02:00
665023960f
Upgrade cpuid ( #190 )
...
Fixes long startup time on Xen guests.
2022-06-21 17:52:46 +02:00
e97f38d38d
TestReconstructData was probably meant to call testReconstructData() ( #188 )
...
Co-authored-by: Vitaliy Filippov <vitalif@yourcmc.ru>
2022-06-17 11:58:38 +02:00
19a04effc5
Implement ReconstructSome() to reconstruct only specific data shards ( #189 )
...
Co-authored-by: Vitaliy Filippov <vitalif@yourcmc.ru>
2022-06-17 11:58:26 +02:00
10e7890be7
Add custom coding matrix support ( #187 )
...
Co-authored-by: Vitaliy Filippov <vitalif@yourcmc.ru>
2022-06-17 11:43:51 +02:00
1ef513248a
Publish withSSE/withAVX options ( #186 )
...
Co-authored-by: Vitaliy Filippov <vitalif@yourcmc.ru>
2022-06-17 11:42:53 +02:00
2f19c81be4
Reduce generated code ( #185 )
...
* Reduce generated code
Use a define (with hacks)
2022-03-24 13:25:40 +01:00
daf81ef0bd
Use VPTERNLOGD on GOAMD64=v4 ( #182 )
...
* Use VPTERNLOGD on GOAMD64=v4
* Bump to Go 1.18
2022-03-16 11:10:29 +01:00
8e17d64e52
Report allocs for reconstruct ( #181 )
2022-02-09 09:53:36 +01:00
1bb4d699e1
avx2: Improve speed when > 10 input or output shards. ( #174 )
...
Speeds are including a limiting the number of goroutines with all AVX2 paths,
Before/after
```
benchmark old ns/op new ns/op delta
BenchmarkGalois128K-32 2240 2240 +0.00%
BenchmarkGalois1M-32 19578 18891 -3.51%
BenchmarkGaloisXor128K-32 2798 2852 +1.93%
BenchmarkGaloisXor1M-32 23334 23345 +0.05%
BenchmarkEncode2x1x1M-32 34357 34370 +0.04%
BenchmarkEncode10x2x10000-32 3210 3093 -3.64%
BenchmarkEncode100x20x10000-32 362925 148214 -59.16%
BenchmarkEncode17x3x1M-32 323767 224157 -30.77%
BenchmarkEncode10x4x16M-32 8376895 8376737 -0.00%
BenchmarkEncode5x2x1M-32 68365 66861 -2.20%
BenchmarkEncode10x2x1M-32 101407 93023 -8.27%
BenchmarkEncode10x4x1M-32 171880 155477 -9.54%
BenchmarkEncode50x20x1M-32 3704691 3015047 -18.62%
BenchmarkEncode17x3x16M-32 10279233 10106658 -1.68%
BenchmarkEncode_8x4x8M-32 3438245 3326479 -3.25%
BenchmarkEncode_12x4x12M-32 6632257 6581637 -0.76%
BenchmarkEncode_16x4x16M-32 10815755 10788377 -0.25%
BenchmarkEncode_16x4x32M-32 21029061 21507995 +2.28%
BenchmarkEncode_16x4x64M-32 42145450 43876850 +4.11%
BenchmarkEncode_8x5x8M-32 4543208 3846378 -15.34%
BenchmarkEncode_8x6x8M-32 5065494 4397218 -13.19%
BenchmarkEncode_8x7x8M-32 5818995 4962884 -14.71%
BenchmarkEncode_8x9x8M-32 6215449 6114898 -1.62%
BenchmarkEncode_8x10x8M-32 6923415 6610501 -4.52%
BenchmarkEncode_8x11x8M-32 7365988 7010473 -4.83%
BenchmarkEncode_8x8x05M-32 150857 136820 -9.30%
BenchmarkEncode_8x8x1M-32 256722 254854 -0.73%
BenchmarkEncode_8x8x8M-32 5547790 5422048 -2.27%
BenchmarkEncode_8x8x32M-32 23038643 22705859 -1.44%
BenchmarkEncode_24x8x24M-32 27729259 30332216 +9.39%
BenchmarkEncode_24x8x48M-32 53865705 61187658 +13.59%
BenchmarkVerify10x2x10000-32 8769 8154 -7.01%
BenchmarkVerify10x2x1M-32 516149 476180 -7.74%
BenchmarkVerify5x2x1M-32 443888 419541 -5.48%
BenchmarkVerify10x4x1M-32 1030299 948021 -7.99%
BenchmarkVerify50x20x1M-32 7209689 6186891 -14.19%
BenchmarkVerify10x4x16M-32 17774456 17681879 -0.52%
BenchmarkReconstruct10x2x10000-32 3352 3256 -2.86%
BenchmarkReconstruct50x5x50000-32 166417 140900 -15.33%
BenchmarkReconstruct10x2x1M-32 189711 174615 -7.96%
BenchmarkReconstruct5x2x1M-32 128080 126520 -1.22%
BenchmarkReconstruct10x4x1M-32 273312 254017 -7.06%
BenchmarkReconstruct50x20x1M-32 3628812 3192474 -12.02%
BenchmarkReconstruct10x4x16M-32 8562186 8781479 +2.56%
BenchmarkReconstructData10x2x10000-32 3241 3116 -3.86%
BenchmarkReconstructData50x5x50000-32 162520 134794 -17.06%
BenchmarkReconstructData10x2x1M-32 171253 161955 -5.43%
BenchmarkReconstructData5x2x1M-32 102215 106942 +4.62%
BenchmarkReconstructData10x4x1M-32 225593 219969 -2.49%
BenchmarkReconstructData50x20x1M-32 2515311 2129721 -15.33%
BenchmarkReconstructData10x4x16M-32 6980308 6698111 -4.04%
BenchmarkReconstructP10x2x10000-32 924 937 +1.35%
BenchmarkReconstructP10x5x20000-32 1639 1703 +3.90%
BenchmarkSplit10x4x160M-32 4984993 4898045 -1.74%
BenchmarkSplit5x2x5M-32 380415 221446 -41.79%
BenchmarkSplit10x2x1M-32 58761 53335 -9.23%
BenchmarkSplit10x4x10M-32 643188 410959 -36.11%
BenchmarkSplit50x20x50M-32 1843879 1647205 -10.67%
BenchmarkSplit17x3x272M-32 3684920 3613951 -1.93%
BenchmarkParallel_8x8x64K-32 7022 6630 -5.58%
BenchmarkParallel_8x8x05M-32 348308 348369 +0.02%
BenchmarkParallel_20x10x05M-32 575672 581028 +0.93%
BenchmarkParallel_8x8x1M-32 716033 697167 -2.63%
BenchmarkParallel_8x8x8M-32 5716048 5616437 -1.74%
BenchmarkParallel_8x8x32M-32 22650878 22098667 -2.44%
BenchmarkParallel_8x3x1M-32 406839 399125 -1.90%
BenchmarkParallel_8x4x1M-32 459107 463890 +1.04%
BenchmarkParallel_8x5x1M-32 527488 520334 -1.36%
BenchmarkStreamEncode10x2x10000-32 6013 5878 -2.25%
BenchmarkStreamEncode100x20x10000-32 503124 267894 -46.75%
BenchmarkStreamEncode17x3x1M-32 1561838 1376618 -11.86%
BenchmarkStreamEncode10x4x16M-32 19124427 17762582 -7.12%
BenchmarkStreamEncode5x2x1M-32 429701 384666 -10.48%
BenchmarkStreamEncode10x2x1M-32 801257 763637 -4.70%
BenchmarkStreamEncode10x4x1M-32 876065 820744 -6.31%
BenchmarkStreamEncode50x20x1M-32 7205112 6081398 -15.60%
BenchmarkStreamEncode17x3x16M-32 27182786 26117143 -3.92%
BenchmarkStreamVerify10x2x10000-32 13767 14026 +1.88%
BenchmarkStreamVerify50x5x50000-32 826983 690453 -16.51%
BenchmarkStreamVerify10x2x1M-32 1238566 1182591 -4.52%
BenchmarkStreamVerify5x2x1M-32 892661 806301 -9.67%
BenchmarkStreamVerify10x4x1M-32 1676394 1631495 -2.68%
BenchmarkStreamVerify50x20x1M-32 10877875 10037678 -7.72%
BenchmarkStreamVerify10x4x16M-32 27599576 30435400 +10.27%
benchmark old MB/s new MB/s speedup
BenchmarkGalois128K-32 58518.53 58510.17 1.00x
BenchmarkGalois1M-32 53558.10 55507.44 1.04x
BenchmarkGaloisXor128K-32 46839.74 45961.09 0.98x
BenchmarkGaloisXor1M-32 44936.98 44917.46 1.00x
BenchmarkEncode2x1x1M-32 91561.27 91524.11 1.00x
BenchmarkEncode10x2x10000-32 37385.54 38792.54 1.04x
BenchmarkEncode100x20x10000-32 3306.47 8096.40 2.45x
BenchmarkEncode17x3x1M-32 64773.49 93557.14 1.44x
BenchmarkEncode10x4x16M-32 28039.15 28039.68 1.00x
BenchmarkEncode5x2x1M-32 107365.88 109781.16 1.02x
BenchmarkEncode10x2x1M-32 124083.62 135266.27 1.09x
BenchmarkEncode10x4x1M-32 85408.99 94419.71 1.11x
BenchmarkEncode50x20x1M-32 19812.81 24344.67 1.23x
BenchmarkEncode17x3x16M-32 32642.93 33200.32 1.02x
BenchmarkEncode_8x4x8M-32 29277.52 30261.21 1.03x
BenchmarkEncode_12x4x12M-32 30355.67 30589.14 1.01x
BenchmarkEncode_16x4x16M-32 31023.66 31102.39 1.00x
BenchmarkEncode_16x4x32M-32 31912.44 31201.82 0.98x
BenchmarkEncode_16x4x64M-32 31846.32 30589.65 0.96x
BenchmarkEncode_8x5x8M-32 24003.28 28351.84 1.18x
BenchmarkEncode_8x6x8M-32 23184.41 26707.91 1.15x
BenchmarkEncode_8x7x8M-32 21623.86 25354.03 1.17x
BenchmarkEncode_8x9x8M-32 22943.85 23321.13 1.02x
BenchmarkEncode_8x10x8M-32 21809.31 22841.68 1.05x
BenchmarkEncode_8x11x8M-32 21637.77 22735.06 1.05x
BenchmarkEncode_8x8x05M-32 55606.22 61311.47 1.10x
BenchmarkEncode_8x8x1M-32 65351.80 65830.73 1.01x
BenchmarkEncode_8x8x8M-32 24193.01 24754.07 1.02x
BenchmarkEncode_8x8x32M-32 23303.06 23644.60 1.01x
BenchmarkEncode_24x8x24M-32 29041.76 26549.54 0.91x
BenchmarkEncode_24x8x48M-32 29900.52 26322.51 0.88x
BenchmarkVerify10x2x10000-32 13685.12 14717.10 1.08x
BenchmarkVerify10x2x1M-32 24378.43 26424.72 1.08x
BenchmarkVerify5x2x1M-32 16535.79 17495.41 1.06x
BenchmarkVerify10x4x1M-32 14248.35 15484.96 1.09x
BenchmarkVerify50x20x1M-32 10180.79 11863.85 1.17x
BenchmarkVerify10x4x16M-32 13214.53 13283.71 1.01x
BenchmarkReconstruct10x2x10000-32 35799.16 36854.89 1.03x
BenchmarkReconstruct50x5x50000-32 33049.47 39034.89 1.18x
BenchmarkReconstruct10x2x1M-32 66326.88 72061.06 1.09x
BenchmarkReconstruct5x2x1M-32 57308.21 58014.92 1.01x
BenchmarkReconstruct10x4x1M-32 53711.74 57791.66 1.08x
BenchmarkReconstruct50x20x1M-32 20227.09 22991.67 1.14x
BenchmarkReconstruct10x4x16M-32 27432.37 26747.32 0.98x
BenchmarkReconstructData10x2x10000-32 37030.86 38511.87 1.04x
BenchmarkReconstructData50x5x50000-32 33842.07 40802.85 1.21x
BenchmarkReconstructData10x2x1M-32 73475.57 77693.87 1.06x
BenchmarkReconstructData5x2x1M-32 71809.58 68635.57 0.96x
BenchmarkReconstructData10x4x1M-32 65073.27 66736.88 1.03x
BenchmarkReconstructData50x20x1M-32 29181.41 34464.76 1.18x
BenchmarkReconstructData10x4x16M-32 33649.09 35066.75 1.04x
BenchmarkReconstructP10x2x10000-32 129819.98 128086.76 0.99x
BenchmarkReconstructP10x5x20000-32 183073.89 176202.21 0.96x
BenchmarkParallel_8x8x64K-32 149327.33 158153.67 1.06x
BenchmarkParallel_8x8x05M-32 24083.89 24079.69 1.00x
BenchmarkParallel_20x10x05M-32 27322.20 27070.35 0.99x
BenchmarkParallel_8x8x1M-32 23430.78 24064.83 1.03x
BenchmarkParallel_8x8x8M-32 23480.86 23897.31 1.02x
BenchmarkParallel_8x8x32M-32 23701.99 24294.27 1.02x
BenchmarkParallel_8x3x1M-32 28351.11 28899.03 1.02x
BenchmarkParallel_8x4x1M-32 27407.34 27124.76 0.99x
BenchmarkParallel_8x5x1M-32 25842.27 26197.58 1.01x
BenchmarkStreamEncode10x2x10000-32 16629.76 17012.26 1.02x
BenchmarkStreamEncode100x20x10000-32 1987.58 3732.83 1.88x
BenchmarkStreamEncode17x3x1M-32 11413.34 12948.97 1.13x
BenchmarkStreamEncode10x4x16M-32 8772.66 9445.26 1.08x
BenchmarkStreamEncode5x2x1M-32 12201.21 13629.70 1.12x
BenchmarkStreamEncode10x2x1M-32 13086.64 13731.34 1.05x
BenchmarkStreamEncode10x4x1M-32 11969.16 12775.92 1.07x
BenchmarkStreamEncode50x20x1M-32 7276.61 8621.18 1.18x
BenchmarkStreamEncode17x3x16M-32 10492.40 10920.52 1.04x
BenchmarkStreamVerify10x2x10000-32 7264.00 7129.49 0.98x
BenchmarkStreamVerify50x5x50000-32 6046.07 7241.62 1.20x
BenchmarkStreamVerify10x2x1M-32 8466.05 8866.77 1.05x
BenchmarkStreamVerify5x2x1M-32 5873.31 6502.39 1.11x
BenchmarkStreamVerify10x4x1M-32 6254.95 6427.09 1.03x
BenchmarkStreamVerify50x20x1M-32 4819.76 5223.20 1.08x
BenchmarkStreamVerify10x4x16M-32 6078.79 5512.40 0.91x
```
2021-12-09 12:28:44 +01:00
5593e2b2dd
Unroll pure go xor loop ( #172 )
...
* Unroll pure go xor loop
Testing with `go test -bench=x1x -tags=noasm -short`
```
before:
BenchmarkEncode2x1x1M-32 13658 87980 ns/op 35754.96 MB/s
after:
BenchmarkEncode2x1x1M-32 21633 55498 ns/op 56682.24 MB/s
```
2021-12-02 16:39:56 +01:00
62053e3cca
fix: avoid the padding of last data shard is not zero ( #173 )
...
Co-authored-by: jiangfucheng <jiangfucheng@yidian-inc.com>
2021-12-01 13:49:05 +01:00
cb226cd9d6
Update docs
2021-11-16 11:47:50 +01:00
0eef97bb02
Add progressive erasure shard encoding ( #170 )
...
* Add progressive erasure shard encoding
Allow progressively building erasure shards.
2021-10-26 14:39:44 +02:00
7761c8f7cd
Use Workflows ( #169 )
...
* Use Workflows
* Go 1.17 build tags
* Do races separately.
2021-09-01 18:55:02 +02:00
69e2f21ffd
Create performance baseline ( #168 )
2021-09-01 18:37:47 +02:00
7bd22796ec
Wider AVX2 loops and less usage. ( #162 )
...
* Experiment with 64 bytes/loop AVX2
* Only reduce when doing 64.
* Use no more than 8 goroutines for avx2 codegen.
```
name old speed new speed delta
Encode10x2x10000-32 33.3GB/s ± 0% 37.5GB/s ± 1% +12.49% (p=0.000 n=9+10)
Encode100x20x10000-32 3.79GB/s ± 5% 3.77GB/s ± 5% ~ (p=0.853 n=10+10)
Encode17x3x1M-32 78.2GB/s ± 1% 76.0GB/s ± 6% ~ (p=0.123 n=10+10)
Encode10x4x16M-32 28.3GB/s ± 0% 27.7GB/s ± 2% -2.32% (p=0.000 n=8+10)
Encode5x2x1M-32 112GB/s ± 1% 113GB/s ± 1% ~ (p=0.796 n=10+10)
Encode10x2x1M-32 149GB/s ± 1% 129GB/s ± 3% -13.24% (p=0.000 n=9+10)
Encode10x4x1M-32 99.1GB/s ± 1% 91.5GB/s ± 3% -7.74% (p=0.000 n=10+10)
Encode50x20x1M-32 19.7GB/s ± 1% 19.8GB/s ± 1% ~ (p=0.447 n=9+10)
Encode17x3x16M-32 33.4GB/s ± 0% 33.3GB/s ± 1% -0.46% (p=0.043 n=10+9)
Encode_8x4x8M-32 30.1GB/s ± 1% 29.4GB/s ± 3% -2.31% (p=0.000 n=10+10)
Encode_12x4x12M-32 30.6GB/s ± 0% 30.5GB/s ± 0% ~ (p=0.720 n=10+9)
Encode_16x4x16M-32 31.5GB/s ± 0% 31.5GB/s ± 0% ~ (p=0.497 n=10+9)
Encode_16x4x32M-32 31.9GB/s ± 0% 31.5GB/s ± 4% ~ (p=0.165 n=10+10)
Encode_16x4x64M-32 32.4GB/s ± 0% 32.3GB/s ± 0% ~ (p=0.321 n=9+8)
Encode_8x5x8M-32 28.4GB/s ± 0% 28.4GB/s ± 1% ~ (p=0.237 n=10+8)
Encode_8x6x8M-32 27.0GB/s ± 0% 27.2GB/s ± 2% ~ (p=0.075 n=10+10)
Encode_8x7x8M-32 26.0GB/s ± 1% 25.8GB/s ± 1% -0.53% (p=0.003 n=9+10)
Encode_8x9x8M-32 24.6GB/s ± 1% 24.4GB/s ± 1% -0.63% (p=0.000 n=10+10)
Encode_8x10x8M-32 23.7GB/s ± 1% 23.7GB/s ± 0% +0.32% (p=0.035 n=10+9)
Encode_8x11x8M-32 23.0GB/s ± 1% 22.8GB/s ± 0% -0.59% (p=0.000 n=9+8)
Encode_8x8x05M-32 66.4GB/s ± 1% 64.2GB/s ± 1% -3.32% (p=0.000 n=10+10)
Encode_8x8x1M-32 56.7GB/s ± 0% 75.7GB/s ± 2% +33.55% (p=0.000 n=9+9)
Encode_8x8x8M-32 24.9GB/s ± 0% 24.9GB/s ± 1% ~ (p=0.146 n=8+10)
Encode_8x8x32M-32 23.8GB/s ± 0% 23.4GB/s ± 0% -1.42% (p=0.000 n=9+10)
Encode_24x8x24M-32 29.9GB/s ± 0% 29.9GB/s ± 0% ~ (p=0.278 n=10+9)
Encode_24x8x48M-32 30.7GB/s ± 1% 30.7GB/s ± 0% ~ (p=0.351 n=9+7)
StreamEncode10x2x10000-32 15.5GB/s ± 1% 16.5GB/s ± 0% +6.53% (p=0.000 n=10+9)
StreamEncode100x20x10000-32 2.09GB/s ± 1% 2.06GB/s ± 2% -1.78% (p=0.000 n=10+10)
StreamEncode17x3x1M-32 12.2GB/s ± 2% 12.3GB/s ± 1% +1.19% (p=0.008 n=10+9)
StreamEncode10x4x16M-32 8.68GB/s ± 0% 9.47GB/s ± 1% +9.05% (p=0.000 n=8+10)
StreamEncode5x2x1M-32 12.3GB/s ± 1% 13.2GB/s ± 1% +7.61% (p=0.000 n=10+10)
StreamEncode10x2x1M-32 11.5GB/s ± 4% 13.3GB/s ± 2% +15.15% (p=0.000 n=10+7)
```
2021-06-21 15:15:23 +02:00
46e0559fe3
Upgrade avo to avoid bp ( #166 )
...
Skip spilling BP unless needed.
2021-04-26 11:40:31 +02:00
9227782845
Avoid clobbering BP ( #165 )
...
* Avoid clobbering BP
* Spill to XMM register when available.
2021-04-06 17:47:52 +02:00
60e17e671e
Update go116 ( #164 )
...
* Update travis with Go 1.16
* Disable cgo
2021-03-26 10:07:40 +01:00
195d6fc1ad
Fix build tags for gccgo ( #163 )
2021-03-18 13:39:19 +01:00
6cb2c610fd
Remove unusable test.
2021-03-11 12:09:30 +01:00
0e7f9a6a6f
Allow zero parity shards ( #161 )
2021-03-08 16:13:24 +01:00
ab26eb4126
Add WithInversionCache and use pointer methods ( #160 )
...
There appears to be writes to value receivers.
Add `WithInversionCache(bool)` to disable cache.
Fixes #159
2021-01-13 10:21:28 +01:00
7c8682430c
tests: Set full data size as number of bytes ( #157 )
...
* Clean up deps.
* tests: Set full data size as number of bytes
Use total data size (data+parity) as benchmark sizes for more consistent benchmarks.
2020-12-18 09:09:17 +01:00
6e6fbcd31d
Update README.md
2020-12-17 11:35:52 +01:00
c81ca04b16
Sanity check error on SwapRows ( #156 )
2020-12-17 09:38:25 +01:00
60143f4a15
Update README.md
2020-12-09 22:56:37 +01:00
519603f6e1
Update packages ( #154 )
...
* Update packages
Update cpuid and clean up generated.
2020-12-09 22:56:01 +01:00
653e76aa26
Faster AVX2 encoding ( #153 )
...
* Remove 50% of bounds checks when copying.
* Use RIP only addressing, free one register.
```
benchmark old MB/s new MB/s speedup
BenchmarkGalois128K-32 57663.49 58005.87 1.01x
BenchmarkGalois1M-32 49479.31 49848.29 1.01x
BenchmarkGaloisXor128K-32 46310.69 46501.88 1.00x
BenchmarkGaloisXor1M-32 43804.86 43984.39 1.00x
BenchmarkEncode10x2x10000-32 25926.93 27457.75 1.06x
BenchmarkEncode100x20x10000-32 2635.82 2818.95 1.07x
BenchmarkEncode17x3x1M-32 63215.11 61576.76 0.97x
BenchmarkEncode10x4x16M-32 19551.54 19505.07 1.00x
BenchmarkEncode5x2x1M-32 79612.06 81985.14 1.03x
BenchmarkEncode10x2x1M-32 121478.29 127739.41 1.05x
BenchmarkEncode10x4x1M-32 70757.61 74423.67 1.05x
BenchmarkEncode50x20x1M-32 19811.96 20103.32 1.01x
BenchmarkEncode17x3x16M-32 27202.10 27825.34 1.02x
BenchmarkEncode_8x4x8M-32 19029.04 19701.31 1.04x
BenchmarkEncode_12x4x12M-32 22449.87 22480.51 1.00x
BenchmarkEncode_16x4x16M-32 24536.74 24672.24 1.01x
BenchmarkEncode_16x4x32M-32 24381.34 24981.99 1.02x
BenchmarkEncode_16x4x64M-32 24717.69 25086.94 1.01x
BenchmarkEncode_8x5x8M-32 16763.51 17154.04 1.02x
BenchmarkEncode_8x6x8M-32 15067.22 15205.87 1.01x
BenchmarkEncode_8x7x8M-32 13156.38 13589.40 1.03x
BenchmarkEncode_8x9x8M-32 11363.74 11523.70 1.01x
BenchmarkEncode_8x10x8M-32 10359.37 10474.91 1.01x
BenchmarkEncode_8x11x8M-32 9627.07 9463.24 0.98x
BenchmarkEncode_8x8x05M-32 30104.80 32634.89 1.08x
BenchmarkEncode_8x8x1M-32 36497.28 36425.88 1.00x
BenchmarkEncode_8x8x8M-32 12186.19 11602.41 0.95x
BenchmarkEncode_8x8x32M-32 11670.72 11413.71 0.98x
BenchmarkEncode_24x8x24M-32 21709.83 21652.50 1.00x
BenchmarkEncode_24x8x48M-32 22494.40 22280.59 0.99x
BenchmarkVerify10x2x10000-32 10567.56 10483.91 0.99x
BenchmarkVerify50x5x50000-32 28102.84 27923.63 0.99x
BenchmarkVerify10x2x1M-32 30298.33 30106.18 0.99x
BenchmarkVerify5x2x1M-32 16115.91 15847.03 0.98x
BenchmarkVerify10x4x1M-32 15382.13 14852.68 0.97x
BenchmarkVerify50x20x1M-32 8476.02 8466.24 1.00x
BenchmarkVerify10x4x16M-32 15101.03 15434.71 1.02x
BenchmarkReconstruct10x2x10000-32 26228.18 26960.19 1.03x
BenchmarkReconstruct50x5x50000-32 31091.42 30975.82 1.00x
BenchmarkReconstruct10x2x1M-32 58548.87 60281.92 1.03x
BenchmarkReconstruct5x2x1M-32 39499.23 41791.80 1.06x
BenchmarkReconstruct10x4x1M-32 41448.60 43053.15 1.04x
BenchmarkReconstruct50x20x1M-32 17185.99 17354.67 1.01x
BenchmarkReconstruct10x4x16M-32 18798.60 18847.43 1.00x
BenchmarkReconstructData10x2x10000-32 27208.48 27538.38 1.01x
BenchmarkReconstructData50x5x50000-32 32135.65 32078.91 1.00x
BenchmarkReconstructData10x2x1M-32 63180.19 67332.17 1.07x
BenchmarkReconstructData5x2x1M-32 47532.85 49932.17 1.05x
BenchmarkReconstructData10x4x1M-32 50059.14 52323.15 1.05x
BenchmarkReconstructData50x20x1M-32 26679.75 26714.11 1.00x
BenchmarkReconstructData10x4x16M-32 24854.99 24527.23 0.99x
BenchmarkReconstructP10x2x10000-32 115089.87 113229.75 0.98x
BenchmarkReconstructP10x5x20000-32 129838.75 132871.10 1.02x
BenchmarkParallel_8x8x64K-32 69951.43 69980.44 1.00x
BenchmarkParallel_8x8x05M-32 11752.94 11724.35 1.00x
BenchmarkParallel_20x10x05M-32 18553.93 18613.33 1.00x
BenchmarkParallel_8x8x1M-32 11639.19 11746.86 1.01x
BenchmarkParallel_8x8x8M-32 11799.36 11685.63 0.99x
BenchmarkParallel_8x8x32M-32 11510.94 11791.72 1.02x
BenchmarkParallel_8x3x1M-32 20268.92 20678.21 1.02x
BenchmarkParallel_8x4x1M-32 17616.05 17856.17 1.01x
BenchmarkParallel_8x5x1M-32 15590.87 15872.42 1.02x
BenchmarkStreamEncode10x2x10000-32 14917.08 15408.39 1.03x
BenchmarkStreamEncode100x20x10000-32 2014.81 2077.31 1.03x
BenchmarkStreamEncode17x3x1M-32 11839.37 12434.80 1.05x
BenchmarkStreamEncode10x4x16M-32 9151.14 9206.98 1.01x
BenchmarkStreamEncode5x2x1M-32 13598.55 13663.56 1.00x
BenchmarkStreamEncode10x2x1M-32 13192.91 13453.41 1.02x
BenchmarkStreamEncode10x4x1M-32 12109.90 12050.68 1.00x
BenchmarkStreamEncode50x20x1M-32 8640.73 8370.10 0.97x
BenchmarkStreamEncode17x3x16M-32 10473.17 10527.04 1.01x
BenchmarkStreamVerify10x2x10000-32 7032.23 7128.82 1.01x
BenchmarkStreamVerify50x5x50000-32 13023.46 13109.31 1.01x
BenchmarkStreamVerify10x2x1M-32 11941.63 11949.91 1.00x
BenchmarkStreamVerify5x2x1M-32 8029.93 8263.39 1.03x
BenchmarkStreamVerify10x4x1M-32 8137.82 8271.11 1.02x
BenchmarkStreamVerify50x20x1M-32 7378.87 7708.81 1.04x
BenchmarkStreamVerify10x4x16M-32 8973.18 8955.29 1.00x
```
2020-11-10 14:39:23 +01:00
04d4482b55
Test gzip on 390x ( #150 )
...
* Upgrade CI to Go 1.15
* Test unzip
2020-09-01 13:14:21 +02:00
11742a626c
Upgrade CI to Go 1.15 ( #151 )
...
Removes Go 1.12
2020-09-01 13:13:31 +02:00
7daa20bf74
Generate AVX2 code ( #141 )
...
Replaces AVX2 up to 10x8 configurations with specific generated functions.
If code size is a concern `-tags=nogen` can be used.
Biggest speedup when not memory constrained.
```
benchmark old MB/s new MB/s speedup
BenchmarkEncode_8x5x8M 5895.75 9648.18 1.64x
BenchmarkEncode_8x5x8M-4 16773.41 17220.67 1.03x
BenchmarkEncode_8x5x8M-16 18263.12 17176.28 0.94x
BenchmarkEncode_8x6x8M 5075.89 8548.39 1.68x
BenchmarkEncode_8x6x8M-4 14559.83 15370.95 1.06x
BenchmarkEncode_8x6x8M-16 16183.37 15291.98 0.94x
BenchmarkEncode_8x7x8M 4481.18 7015.60 1.57x
BenchmarkEncode_8x7x8M-4 12835.35 13695.90 1.07x
BenchmarkEncode_8x7x8M-16 14246.94 13737.36 0.96x
BenchmarkEncode_8x8x05M 5569.95 7947.70 1.43x
BenchmarkEncode_8x8x05M-4 17334.91 25271.37 1.46x
BenchmarkEncode_8x8x05M-16 29349.42 35043.36 1.19x
BenchmarkEncode_8x8x1M 4830.58 7891.32 1.63x
BenchmarkEncode_8x8x1M-4 17531.36 27371.42 1.56x
BenchmarkEncode_8x8x1M-16 29593.98 39241.09 1.33x
BenchmarkEncode_8x8x8M 3953.66 6584.26 1.67x
BenchmarkEncode_8x8x8M-4 11527.34 12331.23 1.07x
BenchmarkEncode_8x8x8M-16 12718.89 12173.08 0.96x
BenchmarkEncode_8x8x32M 3927.51 6195.91 1.58x
BenchmarkEncode_8x8x32M-4 11490.85 11424.39 0.99x
BenchmarkEncode_8x8x32M-16 12506.09 11888.55 0.95x
benchmark old MB/s new MB/s speedup
BenchmarkParallel_8x8x64K 5490.24 6959.57 1.27x
BenchmarkParallel_8x8x64K-4 21078.94 29557.51 1.40x
BenchmarkParallel_8x8x64K-16 57508.45 73672.54 1.28x
BenchmarkParallel_8x8x1M 4755.49 7667.84 1.61x
BenchmarkParallel_8x8x1M-4 11818.66 12013.49 1.02x
BenchmarkParallel_8x8x1M-16 12923.12 12109.42 0.94x
BenchmarkParallel_8x8x8M 3973.94 6525.85 1.64x
BenchmarkParallel_8x8x8M-4 11725.68 11312.46 0.96x
BenchmarkParallel_8x8x8M-16 12608.20 11484.98 0.91x
BenchmarkParallel_8x3x1M 14139.71 17993.04 1.27x
BenchmarkParallel_8x3x1M-4 21805.97 23053.92 1.06x
BenchmarkParallel_8x3x1M-16 24673.05 23596.71 0.96x
BenchmarkParallel_8x4x1M 10617.88 14474.54 1.36x
BenchmarkParallel_8x4x1M-4 18635.82 18965.65 1.02x
BenchmarkParallel_8x4x1M-16 21518.12 20171.47 0.94x
BenchmarkParallel_8x5x1M 8669.88 11833.96 1.36x
BenchmarkParallel_8x5x1M-4 16321.00 17500.30 1.07x
BenchmarkParallel_8x5x1M-16 17267.16 17191.04 1.00x
```
2020-05-20 12:48:34 +02:00
01b307ec91
Minor refactor for arm NEON version using macros ( #147 )
...
* Minior refactor for arm NEON version using macros
2020-05-19 15:03:47 +02:00
6fbce20c81
Updated performance numbers for Graviton2 on ARM ( #146 )
2020-05-15 11:09:11 +02:00
e8fdfd6630
Update readme and re-allow s390x failure.
2020-05-14 14:29:53 +02:00
f338110979
Make sure assembler is formatted ( #145 )
...
* Make sure assembler is formatted
2020-05-14 12:04:55 +02:00
27f8a7b6bf
Small optimization to parallal82 for AVX512 by reducing the number of VSHUFI64X2 instructions in the core loop ( #143 )
2020-05-14 10:19:23 +02:00
2475ea7519
Use proper NEON assembly instructions for ARM ( #144 )
...
* Use proper NEON assembly instructions for ARM
* Updated performance numbers for ARM
2020-05-14 10:18:32 +02:00
c83b7b4a38
Allow s390x failures ( #142 )
...
The s390x seems quite unstable, so we allow failures on it.
2020-05-13 17:04:16 +02:00
cf8495259a
Add pure XOR for 1 parity ( #138 )
...
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.
2020-05-13 11:10:58 +02:00
d6d9fba4f9
Take vshufi64x2 out of main loop and initialize upfront (for parallel 81 only) ( #139 )
2020-05-13 10:59:26 +02:00
d5afb5f48e
Faster arm64 implementation that does not use PMULL instruction ( #140 )
...
* Faster arm64 implementation that does not use PMULL instruction
* Add NEON version for sliceXor
2020-05-13 10:24:22 +02:00
2df03bd4d1
Ci test more archs ( #135 )
...
* ci: test more architectures
2020-05-09 10:35:17 +02:00
Vitaliy Filippov
Klaus Post