| [eigen-commits] commit/eigen: 5 new changesets |
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- To: eigen-commits@xxxxxxxxxxxxxxxxxxx
- Subject: [eigen-commits] commit/eigen: 5 new changesets
- From: Bitbucket <commits-noreply@xxxxxxxxxxxxx>
- Date: Fri, 13 Sep 2019 17:22:45 +0000 (UTC)
- Dkim-signature: v=1; a=rsa-sha1; c=relaxed/relaxed; d=bitbucket.org; h=content-type:mime-version:content-transfer-encoding:subject:from:to; s=s1; bh=BV40j5eyEwXY0B6ja40k9BLmQnQ=; b=Ml6Z1MhJVzGyv7yLluN++xJ rBjHpgdLn9Iy7lk3xcqgZQS8NS4qslqirGdNQhVEQ0yldr6JfHJpAnSGHRb8cbIT 2RzUNioWmr5bvM76a2wVeHH1jUjlhUmqAKwCSFAaMdu5wWJEaoOhMy8ZQChc2bCl 2ABHNRBOiPj9vxobLnP8=
5 new commits in eigen:
https://bitbucket.org/eigen/eigen/commits/1cd97a94cb15/
Changeset: 1cd97a94cb15
User: Srinivas Vasudevan
Date: 2019-08-12 23:26:29+00:00
Summary: Add ndtri function, the inverse of the normal distribution function.
Affected #: 20 files
https://bitbucket.org/eigen/eigen/commits/0c1d6f20f628/
Changeset: 0c1d6f20f628
User: Srinivas Vasudevan
Date: 2019-09-03 19:34:47+00:00
Summary: Merging from eigen/eigen.
Affected #: 49 files
https://bitbucket.org/eigen/eigen/commits/fce9a13c6007/
Changeset: fce9a13c6007
User: Srinivas Vasudevan
Date: 2019-09-05 03:50:52+00:00
Summary: Merged eigen/eigen
Affected #: 17 files
https://bitbucket.org/eigen/eigen/commits/678cbe217219/
Changeset: 678cbe217219
User: srvasude
Date: 2019-09-12 01:01:54+00:00
Summary: Merged eigen/eigen into default
Affected #: 39 files
https://bitbucket.org/eigen/eigen/commits/c8f466327c3a/
Changeset: c8f466327c3a
User: Srinivas Vasudevan
Date: 2019-09-12 01:34:02+00:00
Summary: Add packetized versions of i0e and i1e special functions.
- In particular refactor the i0e and i1e code so scalar and vectorized path share code.
- Move chebevl to GenericPacketMathFunctions.
A brief benchmark with building Eigen with FMA, AVX and AVX2 flags
Before:
CPU: Intel Haswell with HyperThreading (6 cores)
Benchmark Time(ns) CPU(ns) Iterations
-----------------------------------------------------------------
BM_eigen_i0e_double/1 57.3 57.3 10000000
BM_eigen_i0e_double/8 398 398 1748554
BM_eigen_i0e_double/64 3184 3184 218961
BM_eigen_i0e_double/512 25579 25579 27330
BM_eigen_i0e_double/4k 205043 205042 3418
BM_eigen_i0e_double/32k 1646038 1646176 422
BM_eigen_i0e_double/256k 13180959 13182613 53
BM_eigen_i0e_double/1M 52684617 52706132 10
BM_eigen_i0e_float/1 28.4 28.4 24636711
BM_eigen_i0e_float/8 75.7 75.7 9207634
BM_eigen_i0e_float/64 512 512 1000000
BM_eigen_i0e_float/512 4194 4194 166359
BM_eigen_i0e_float/4k 32756 32761 21373
BM_eigen_i0e_float/32k 261133 261153 2678
BM_eigen_i0e_float/256k 2087938 2088231 333
BM_eigen_i0e_float/1M 8380409 8381234 84
BM_eigen_i1e_double/1 56.3 56.3 10000000
BM_eigen_i1e_double/8 397 397 1772376
BM_eigen_i1e_double/64 3114 3115 223881
BM_eigen_i1e_double/512 25358 25361 27761
BM_eigen_i1e_double/4k 203543 203593 3462
BM_eigen_i1e_double/32k 1613649 1613803 428
BM_eigen_i1e_double/256k 12910625 12910374 54
BM_eigen_i1e_double/1M 51723824 51723991 10
BM_eigen_i1e_float/1 28.3 28.3 24683049
BM_eigen_i1e_float/8 74.8 74.9 9366216
BM_eigen_i1e_float/64 505 505 1000000
BM_eigen_i1e_float/512 4068 4068 171690
BM_eigen_i1e_float/4k 31803 31806 21948
BM_eigen_i1e_float/32k 253637 253692 2763
BM_eigen_i1e_float/256k 2019711 2019918 346
BM_eigen_i1e_float/1M 8238681 8238713 86
After:
CPU: Intel Haswell with HyperThreading (6 cores)
Benchmark Time(ns) CPU(ns) Iterations
-----------------------------------------------------------------
BM_eigen_i0e_double/1 15.8 15.8 44097476
BM_eigen_i0e_double/8 99.3 99.3 7014884
BM_eigen_i0e_double/64 777 777 886612
BM_eigen_i0e_double/512 6180 6181 100000
BM_eigen_i0e_double/4k 48136 48140 14678
BM_eigen_i0e_double/32k 385936 385943 1801
BM_eigen_i0e_double/256k 3293324 3293551 228
BM_eigen_i0e_double/1M 12423600 12424458 57
BM_eigen_i0e_float/1 16.3 16.3 43038042
BM_eigen_i0e_float/8 30.1 30.1 23456931
BM_eigen_i0e_float/64 169 169 4132875
BM_eigen_i0e_float/512 1338 1339 516860
BM_eigen_i0e_float/4k 10191 10191 68513
BM_eigen_i0e_float/32k 81338 81337 8531
BM_eigen_i0e_float/256k 651807 651984 1000
BM_eigen_i0e_float/1M 2633821 2634187 268
BM_eigen_i1e_double/1 16.2 16.2 42352499
BM_eigen_i1e_double/8 110 110 6316524
BM_eigen_i1e_double/64 822 822 851065
BM_eigen_i1e_double/512 6480 6481 100000
BM_eigen_i1e_double/4k 51843 51843 10000
BM_eigen_i1e_double/32k 414854 414852 1680
BM_eigen_i1e_double/256k 3320001 3320568 212
BM_eigen_i1e_double/1M 13442795 13442391 53
BM_eigen_i1e_float/1 17.6 17.6 41025735
BM_eigen_i1e_float/8 35.5 35.5 19597891
BM_eigen_i1e_float/64 240 240 2924237
BM_eigen_i1e_float/512 1424 1424 485953
BM_eigen_i1e_float/4k 10722 10723 65162
BM_eigen_i1e_float/32k 86286 86297 8048
BM_eigen_i1e_float/256k 691821 691868 1000
BM_eigen_i1e_float/1M 2777336 2777747 256
This shows anywhere from a 50% to 75% improvement on these operations.
I've also benchmarked without any of these flags turned on, and got similar
performance to before (if not better).
Also tested packetmath.cpp + special_functions to ensure no regressions.
Affected #: 8 files
Repository URL: https://bitbucket.org/eigen/eigen/
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