[Jprogramming] mt addon benchmarks for J805 vs J806

[Henry Rich]

I welcome the chance to improve users' important programs.  The 
i.-family speedups were important for some programs we know about, but 
not all.  If anyone has an application where more speed would be 
important to them, I encourage them to (1) use the Performance Monitor 
to find the slow parts of the J code and improve them, and only then (2) 
send me a standalone program that I can analyze to see what can be improved.

Henry Rich



On 4/24/2017 10:02 PM, Igor Zhuravlov wrote:
> Last mt addon's version (0.10.0) got benchmarking capability, too. I've tried
> it for J805 vs J806 comparison.
>
> Host: CPU: Intel i7-4790, RAM: 16 Gb
>
> J805 version: j805/j64/linux/release/commercial/www.jsoftware.com/
> 2016-12-11T08:02:52
>
> J806 version: j64avx/linux/beta-1/commercial/www.jsoftware.com/
> 2017-03-09T10:14:43
>
> Overall benchmark:
>    matrix size  speed-up ratio
>    100          0.98x
>    150          0.97x
>    200          0.99x
>    300          0.98x
>    400          0.98x
>    500          1.03x
> So overall performance remains essentially unchanged.
>
> Per-verb one-to-one speed-up ratios reveals a performance redistribution
> inside each overall benchmark. Say, speed-up ratios for n=500 are varying from
> 0.25x to 3.89x, has average 1.24x and forms 3 clusters:
> centroid value  verbs in cluster
> 0.28x            12 of 235 ( 5%)
> 0.96x           170 of 235 (72%)
> 2.35x            53 of 235 (23%)
>
> Most speed-ups are noted in gq/q, mq/q, pow, qf/q and tri verb groups. Which
> are heavily based on matrix product, are mainly row-wise and has minimal
> housekeeping work.
>
> Most slow-downs are noted in gq/z, mq/z, qf/z verb groups.
>
> Result from brand J benchmark:
>
>     'i7-4790_J806avx' show_tests 'i7-4790_J805'
> intsr  intbr  char   float  float0 test
>    1.49   2.42   4.23   1.08   3.09 a i. a
>   14.87  14.97  25.37   2.06  21.23 a i. b
>    3.61   8.03   8.37   5.28  10.92 b i. a
>    3.89   9.32   8.26   5.52  13.17 a e. b
>    7.81  14.46  23.59   2.04  21.41 b e. a
>    4.01   9.13   8.28   5.40  12.45 a (+/@:e.) b
>    3.35   6.85   8.18  38.22  13.13 a (e. i. 1:) b
>    2.18   2.44   3.67   1.05   1.05 ~.a
>    2.31   2.48   3.93   1.06   1.05 ~:a
>    2.92   5.00   1.43   1.07   1.07 /:a
>    1.81   1.34   1.39   1.06   1.07 /:~a
>                                     
> intsr  intbr  char   float  float0 test
>    1.63   3.66   4.77   1.20   5.33 a i. a
>    3.46   4.90   8.29   3.19   8.33 a i. b
>    4.10   8.67   8.13   5.52  12.28 b i. a
>    4.29   9.08   8.12   5.25  12.90 a e. b
>    3.13   4.97   8.04   3.18   8.26 b e. a
>    4.03   9.59   8.26   5.17  12.89 a (+/@:e.) b
>    1.06   3.65   7.08  17.05  13.05 a (e. i. 1:) b
>    1.47   3.50   4.05   1.19   1.18 ~.a
>    1.37   3.54   4.87   1.26   1.24 ~:a
>    1.14   1.13   1.33   1.14   1.12 /:a
>    1.53   1.16   1.37   1.14   1.11 /:~a
>
> matrix multiply  4.33
>
> --
> WBR
> Igor
>
>> On Mar 12, 2017, at 4:35 PM, Eric Iverson <eric.b.iverson at gmail.com> wrote:
>> ...
>> If you report an avx benchmark, please indicate the processor, as this
>> gives useful perspective.
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