Scripts/Simple AVX Benchmark
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Notes
Running this benchmark is simple:
- Select the system and J version you want to test.
- Load the script.
- Run make_data to create the file named 'data_avx' containing the test data.
- Run run_tests 'description' to run the tests and save the results as a file named 'test_avx_',description.
- Move the data file, if needed, to a different system to benchmark.
- Run run_tests 'description' to run the tests and save the results as a file named 'test_avx_',description.
- Gather the two test output files on one system.
- Run test_avx_test1' show_tests 'test_avx_test2', where these file names match the test output file names created in the previous steps.
This will display an enclosed result using a similar format as used on the following jprogramming forum posting. This description was used as a basis for the code posted here.
Scripts/AVG Benchmark results Here are results from the posted benchmark.
2017 3 11 16 10
j806/j64avx/linux/beta-1/commercial/www.jsoftware.com/2017-
03-09T10:14:43
i7-7700Q
N in tables below indicate new avx JE runs N times faster than 805
b=: (<.-:#a)+ c ?. c [ a=: C ?. C NB. intsr
b=: (c?.#a){a [ a=: C ?@$ <:2^63 NB. intbr
b=: (c?.#a){a [ a=: >,.~":each <"0 [C ?@$ <:2^63 NB. char
b=: 0.1+(c?.#a){a [ a=: 0.1+C ?@$ <:2^63 NB. float
intsr (small range) special code avoids hash - intbr (big range)
float0 tests use !.0 where appropriate
'C c'=: 10000000 1000
intsr intbr char float float0 test
1.3 2.0 4.1 1.0 3.5 a i. a
12.8 10.4 25.5 2.1 20.2 a i. b
3.4 7.3 8.6 5.1 10.7 b i. a
5.2 8.0 9.0 5.3 12.9 a e. b
6.4 10.4 25.3 2.1 20.2 b e. a
5.3 8.8 9.5 5.1 13.1 a (+/@:e.) b
4.4 6.4 9.4 38.2 12.9 a (e. i. 1:) b
1.7 1.9 3.8 1.0 1.0 ~.a
1.6 2.1 4.1 1.0 1.0 ~:a
1.1 0.9 1.4 1.1 0.0 /:a
1.2 0.6 1.3 1.0 0.0 /:~a
'C c'=: 100000 1000
intsr intbr char float float0 test
1.5 3.5 5.3 1.1 4.6 a i. a
3.4 4.7 9.3 3.1 7.1 a i. b
3.9 8.1 8.7 5.0 12.1 b i. a
4.4 7.5 9.1 5.3 12.6 a e. b
2.6 4.8 9.2 3.1 6.8 b e. a
4.4 8.4 9.5 5.2 12.9 a (+/@:e.) b
1.5 4.3 7.8 20.7 12.7 a (e. i. 1:) b
1.0 3.3 4.7 1.1 1.1 ~.a
1.3 3.5 5.2 1.2 1.1 ~:a
1.7 1.3 1.3 1.2 0.0 /:a
1.6 1.4 1.3 1.2 0.0 /:~a
matrix multiply
4.5 a +/ . * b