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-rw-r--r--doc/source/reference/random/performance.rst114
1 files changed, 57 insertions, 57 deletions
diff --git a/doc/source/reference/random/performance.rst b/doc/source/reference/random/performance.rst
index 3e5c20e3a..9f59a78c7 100644
--- a/doc/source/reference/random/performance.rst
+++ b/doc/source/reference/random/performance.rst
@@ -29,38 +29,37 @@ The column labeled MT19973 is used the same 32-bit generator as
:class:`~generator.Generator`.
.. csv-table::
- :header: ,PCG64,MT19937,Philox,RandomState
- :widths: 14,14,14,14,14
-
- 32-bit Unsigned Ints,3.2,3.3,4.8,3.2
- 64-bit Unsigned Ints,4.8,5.7,6.9,5.7
- Uniforms,5.0,7.3,8.0,7.3
- Normals,11.3,13.0,13.7,34.4
- Exponentials,6.7,7.9,8.6,40.3
- Gammas,30.6,34.2,35.1,58.1
- Binomials,25.7,27.7,28.4,25.9
- Laplaces,41.1,44.5,45.4,46.9
- Poissons,58.1,68.4,70.2,86.0
-
+ :header: ,MT19937,PCG64,Philox,SFC64,RandomState
+ :widths: 14,14,14,14,14,14
+
+ 32-bit Unsigned Ints,4.1,3.3,4.8,2.7,3.2
+ 64-bit Unsigned Ints,5.9,5.0,6.4,2.7,5.6
+ Uniforms,7.4,5.2,8.1,3.1,7.3
+ Normals,13.0,11.4,13.1,7.8,33.9
+ Exponentials,8.0,6.6,8.5,4.1,39.8
+ Gammas,36.5,31.3,34.8,27.5,57.9
+ Binomials,25.6,23.1,26.0,19.8,25.0
+ Laplaces,45.8,41.9,45.4,38.0,45.5
+ Poissons,67.9,57.7,68.3,58.7,80.8
The next table presents the performance in percentage relative to values
generated by the legagy generator, `RandomState(MT19937())`. The overall
performance was computed using a geometric mean.
.. csv-table::
- :header: ,PCG64,MT19937,Philox
- :widths: 14,14,14,14
-
- 32-bit Unsigned Ints,100,99,67
- 64-bit Unsigned Ints,118,100,83
- Uniforms,147,100,91
- Normals,304,264,252
- Exponentials,601,512,467
- Gammas,190,170,166
- Binomials,101,93,91
- Laplaces,114,105,103
- Poissons,148,126,123
- Overall,167,145,131
+ :header: ,MT19937,PCG64,Philox,SFC64
+ :widths: 14,14,14,14,14
+
+ 32-bit Unsigned Ints,77,96,66,116
+ 64-bit Unsigned Ints,95,112,86,206
+ Uniforms,99,140,90,235
+ Normals,260,296,258,437
+ Exponentials,497,600,467,974
+ Gammas,159,185,166,211
+ Binomials,98,108,96,126
+ Laplaces,99,109,100,120
+ Poissons,119,140,118,138
+ Overall,137,163,131,217
.. note::
@@ -81,33 +80,34 @@ across tables.
64-bit Linux
~~~~~~~~~~~~
-=================== ========= ======= ========
-Distribution MT19937 PCG64 Philox
-=================== ========= ======= ========
-32-bit Unsigned Int 100 113.9 72.1
-64-bit Unsigned Int 100 143.3 89.7
-Uniform 100 181.5 90.8
-Exponential 100 145.5 92.5
-Normal 100 121.4 98.3
-**Overall** 100 139.3 88.2
-=================== ========= ======= ========
+=================== ========= ======= ======== =======
+Distribution MT19937 PCG64 Philox SFC64
+=================== ========= ======= ======== =======
+32-bit Unsigned Int 100 98.0 67.7 120.2
+64-bit Unsigned Int 100 120.4 90.8 213.3
+Uniforms 100 141.0 87.0 232.0
+Normals 100 115.7 99.2 167.8
+Exponentials 100 116.8 93.0 189.3
+**Overall** 100 117.6 86.8 180.0
+=================== ========= ======= ======== =======
64-bit Windows
~~~~~~~~~~~~~~
-The performance on 64-bit Linux and 64-bit Windows is broadly similar.
+The relative performance on 64-bit Linux and 64-bit Windows is broadly similar.
+
+=================== ========= ======= ======== =======
+Distribution MT19937 PCG64 Philox SFC64
+=================== ========= ======= ======== =======
+32-bit Unsigned Int 100 129.1 35.0 135.0
+64-bit Unsigned Int 100 146.9 35.7 176.5
+Uniforms 100 165.0 37.0 192.0
+Normals 100 128.5 48.5 158.0
+Exponentials 100 151.6 39.0 172.8
+**Overall** 100 143.6 38.7 165.7
+=================== ========= ======= ======== =======
-=================== ========= ======= ========
-Distribution MT19937 PCG64 Philox
-=================== ========= ======= ========
-32-bit Unsigned Int 100 134.9 44.1
-64-bit Unsigned Int 100 162.7 41.0
-Uniform 100 200.0 44.8
-Exponential 100 167.8 47.4
-Normal 100 135.6 60.3
-**Overall** 100 158.4 47.1
-=================== ========= ======= ========
32-bit Windows
~~~~~~~~~~~~~~
@@ -116,16 +116,16 @@ The performance of 64-bit generators on 32-bit Windows is much lower than on 64-
operating systems due to register width. MT19937, the generator that has been
in NumPy since 2005, operates on 32-bit integers.
-=================== ========= ======= ========
-Distribution MT19937 PCG64 Philox
-=================== ========= ======= ========
-32-bit Unsigned Int 100 30.6 28.1
-64-bit Unsigned Int 100 24.2 23.7
-Uniform 100 26.7 28.4
-Exponential 100 32.1 32.6
-Normal 100 36.3 37.5
-**Overall** 100 29.7 29.7
-=================== ========= ======= ========
+=================== ========= ======= ======== =======
+Distribution MT19937 PCG64 Philox SFC64
+=================== ========= ======= ======== =======
+32-bit Unsigned Int 100 30.5 21.1 77.9
+64-bit Unsigned Int 100 26.3 19.2 97.0
+Uniforms 100 28.0 23.0 106.0
+Normals 100 40.1 31.3 112.6
+Exponentials 100 33.7 26.3 109.8
+**Overall** 100 31.4 23.8 99.8
+=================== ========= ======= ======== =======
.. note::