10 timespacex '( %. + / . * ] ) aa'[ aa =.? 200 200 $ 40000
0.0308774 3.80518e6
slightly slower on avx806 vs 805.
0.0286737 3.80518e6
Exact memory match suggests maybe the processor doesn't support a specific avx
feature, and the code aborts to "downhandle" the operation?
----- Original Message -----
From: Henry Rich <henryhr...@gmail.com>
To: programm...@jsoftware.com
Sent: Sunday, March 12, 2017 7:26 PM
Subject: Re: [Jprogramming] first 806 beta vailable
Very surprising that there is no improvement in matrix multiply, when
the processor uses AVX instructions. This processor has a large L2
cache. How large were the matrices?
Henry Rich
On 3/12/2017 7:20 PM, 'Pascal Jasmin' via Programming wrote:
> on older AM A8-5500 most of the benchmark improvements (compared to 805) are
> higher (minimally) than Eric reported. floating point a bit less, but
> float!.0 a bit more. No improvement in matrix multiply.
>
>
>
>
> ----- Original Message -----
> From: 'Mike Day' via Programming <programm...@jsoftware.com>
> To: programm...@jsoftware.com
> Sent: Sunday, March 12, 2017 1:44 PM
> Subject: Re: [Jprogramming] first 806 beta vailable
>
> I didn't know I had avx available on this machine, an AMD A10-7300,
> running Windows 10. Anyway, J806 JVERSION says I do!
>
> I'd have a go at running the benchmarks, but wonder if there's a script
> available
> to save doing them "by hand"....
>
> JVERSION
>
> Engine: j806/j64avx/windows
>
> Beta-1: commercial/2017-03-09T09:10:13
>
> Library: 8.06.01
>
> Qt IDE: 1.5.3/5.6.2
>
> Platform: Win 64
>
> Installer: J806 install
>
> InstallPath: c:/d/j806
>
> Contact: www.jsoftware.com
>
> Mike
>
> On 11/03/2017 22:44, Eric Iverson wrote:
>> The first 806 beta is available.
>>
>> 806 will be primarily a performance release. This is the first J release
>> where hardware features are directly used for performance. Previous
>> releases depended on excellent code and smart algorithms. With Advanced
>> Vector Extensions (AVX) Intel finally (first hardware released in 2011) has
>> hardware that seems to have J, at least partially, in mind.
>>
>> A rough benchmark report is at the end of this message. Some of the results
>> are already impressive and there may be more to come.
>>
>> Improvments in i. and related areas are important in J, but faster
>> crunching is usually overwhelmed by all the housekeeping in an application.
>> Some things run 10 times faster, but your application won't.
>>
>> It would be a shame to have non-trivial vector capabilities in the hardware
>> and for J to not take advantage. AVX2 machines have just hit the shelves
>> there are more goodies there.
>>
>> It has been a long time since we've been able to brag of a factor of 10
>> speedup in a primitive.
>>
>> Please get involved in the beta program, it helps make a better product for
>> everyone.
>>
>> And give big thanks to Henry Rich for this core JE development!
>>
>> ***
>> Follow web site download links to Installation/Beta. Do appropriate
>> download from j806/install folder and then follow the Archive install
>> instructions. These are 805 release instructions, so be careful to use 806
>> as appropriate.
>>
>> The install contains a default non-avx JE binary as well as an avx JE
>> binary. The launch icons will run the non-avx binary. Make sure the install
>> is stable and when you are ready, switch to the avx binary with the
>> following steps:
>>
>> load'~addons/ide/jhs/installer.ijs'
>> avx'' NB. follow the instructions
>>
>> If your hardware/OS supports avx, then the next time you start 806 it will
>> use the avx binary. Verify this by checking 9!:14'' (you will see avx in
>> the string).
>>
>> *** preliminary benchmark report
>>
>> 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
>> ----------------------------------------------------------------------
>> For information about J forums see http://www.jsoftware.com/forums.htm
>
>
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