Just about downloading ArrayFire for Windows 11...
I tried downloading the two exe files, one for W11, which failed, and then
W10, also a failure. The failures both reported inability to verify.
My son has just commented that it’s a common M/S feature... Anyone else seen
this behaviour?
Thanks
Mike
Sent from my iPad
> On 26 Jan 2022, at 19:45, 'Pascal Jasmin' via Programming
> <programm...@jsoftware.com> wrote:
>
> The signature for af_add:
>
> af_add (af_array *out, const af_array lhs, const af_array rhs, const bool
> batch)
>
> with lhs and rhs as parameter names, I don't think J users would get lost if
> they called the "cover function" dyadically the same way they call +
>
> I'm not suggesting altering any existing code that does follow the "C spec"
> closely. Just adding adverbs on top of them to provide an intuitive J
> interface to the functions.
>
> consider the J function
>
> insert =: 1 : 'u/"x y' (_&$: :)
>
> it is "monadic only" version of /. With optional rank parameter as dyadic
> number
>
> + insert i.3 3
>
> 9 12 15
>
> 1 + insert i.3 3
>
> 3 12 21
>
> J does not need such an adverb ("x is easy to type/add and "name context
> free"), but "lesser languages" do. Although when they do use such an
> implementation, they capture the full flexibility of ranked-modified insert.
> A more important flexibility than being able to turn insert into, a very
> different adverb, table.
>
> this insert adverb definition would work like a lesser language modifier....
>
> like af_sum, af_product group.
>
> One of the reasons to make this consistency change is to simplify conversion
> to and from J<->arrayfire including the great matmul demonstration you have
> provided.
>
>
>
>
>
> On Wednesday, January 26, 2022, 12:23:52 p.m. EST, Eric Iverson
> <eric.b.iver...@gmail.com> wrote:
>
>
>
>
>
> Pascal,
>
> Interesting ideas on arrayfire args.
>
> I will probably resist the idea of making dop verbs dyadic. I think it
> better to stick closer to the arrayfire syntax.
>
> But it makes sense to avoid unnecessary boxing.
>
> af_add_jaf_ afad;afbd NB. works
> af_add_jaf_ afad,afbd NB. fails, but probably should work
>
>
>
> On Wed, Jan 26, 2022 at 10:03 AM 'Pascal Jasmin' via Programming <
> programm...@jsoftware.com> wrote:
>
>> An interface suggestion would be to transform all verbs that currently
>> take 2 boxed arguments into unboxed dyad arguments.
>>
>> this can be done by adding the adverb (@:;) for the dop class verbs. and
>> (@:;~) for the reduce class verbs such that the operating axis is the x
>> term. The reduce class could have the additional adverb (0&$: : ) to make
>> supplying the axis an optional parameter. The explicitly constructed
>> functions in arrayfire.ijs that take 2 boxed y parameters (matmul) can also
>> be decorated with (@: ;)
>>
>> These changes would more naturally leverage J's processing/modifier
>> capabilities, and processing list of arrayfire array handles. Arrayfire
>> sparse support seems to be limited to rank 2 arrays. J could circumvent
>> these limitations by shaping multiple arrayfire handles managing the
>> nesting logic in J instead.
>>
>> There are many uses of arrayfire that are made easier with a list of array
>> handles.
>>
>>
>>
>>
>> On Tuesday, January 25, 2022, 04:39:36 p.m. EST, Eric Iverson <
>> eric.b.iver...@gmail.com> wrote:
>>
>>
>>
>>
>>
>> Pascal,
>>
>> Thanks for the feedback. Coming from you, it means a lot to me.
>>
>> There are some rough edges for windows and mac (I work mostly in linux)
>> that I will fix tomorrow morning.
>>
>> On Tue, Jan 25, 2022 at 3:52 PM 'Pascal Jasmin' via Programming <
>> programm...@jsoftware.com> wrote:
>>
>>> looks good. A small bug:
>>>
>>> if you define
>>>
>>> reduce_z_ =: ]: NB. adverb
>>>
>>> prior to loading arrayfire.ijs
>>>
>>> load will fail.
>>>
>>> The reason is the families.ijs file creates a bunch of forks with their
>>> middle verbs defined after the forks are created.
>>>
>>> An easy fix is to define all of the explicit verbs used in families.ijs
>>> above the line that "require families.ijs"
>>>
>>>
>>> fixed it for me.
>>>
>>>
>>>
>>> On Tuesday, January 25, 2022, 10:56:54 a.m. EST, Eric Iverson <
>>> eric.b.iver...@gmail.com> wrote:
>>>
>>>
>>>
>>>
>>>
>>> ~addons/math/arrayfire is a new addon for J903 and later.
>>>
>>> The addon allows high performance computing of matrix product
>>> and many other mathematical array operations. Multiple cpu
>>> cores and hardware such as Nvidia gpus are used as appropriate.
>>>
>>> Browse https://arrayfire.org for more info.
>>>
>>> The addon will prompt you for the ArrayFire software install if
>>> it is not already installed.
>>>
>>> Use pacman to install the addon. For example,
>>> load'pacman'
>>> 'install' jpkg 'math/arrayfire'
>>>
>>> Get started:
>>> load '~addons/math/arrayfire/arrayfire.ijs'
>>> man_jaf_ 'intro'
>>> ...
>>> init_jaf_ 'cpu'
>>> tut_jaf_ 'basic' NB. run basic tutorial
>>> ...
>>> man_jaf_ 'credits' NB. credit to some J-ArrayFire pioneers
>>> ...
>>>
>>> *** preliminary version
>>> We think this is an important step for J in high performance computing.
>>> If this proves to be the case, Jsoftware will actively pursue further
>>> development in this area.
>>>
>>> *** from the addon description
>>> cd bindings and utilities for ArrayFire shared library
>>>
>>> https://arrayfire.org
>>>
>>> "ArrayFire is a high performance software library for
>>> parallel computing with an easy-to-use API. Its array based
>>> function set makes parallel programming more accessible."
>>>
>>> J-ArrayFire cd bindings make it easy to have
>>> high performance computing for things like matrix multiply
>>> with cpu cores, Nvidia gpus, and opencl.
>>> ***
>>> ----------------------------------------------------------------------
>>> For information about J forums see http://www.jsoftware.com/forums.htm
>>> ----------------------------------------------------------------------
>>> For information about J forums see http://www.jsoftware.com/forums.htm
>
>>
>>>
>> ----------------------------------------------------------------------
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>>
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