One glitch:
man_jaf_ ‘benchmarks’
...
motive 4000NB. takes sev seconds
...
mptime 4000
|domain error: mptime
mptime turns out to be dyadic
Mike
Sent from my iPad
> On 28 Jan 2022, at 21:51, Eric Iverson wrote:
>
> Mike,
> FIxed. Update and please try again.
>
> On Fri, Jan
Sorry, iPad spell-checker rendered “mptime” as “motive”!
M
Sent from my iPad
> On 30 Jan 2022, at 10:49, 'Mike Day' via Programming
> wrote:
>
> One glitch:
> man_jaf_ ‘benchmarks’
> ...
> motive 4000NB. takes sev seconds
> ...
>
> mptime 4000
> |domain error: mptime
>
> mptime
The arrayfire addon updated with minor fixes and changes.
Note that the mp_bench.ijs script has been renamed to be matmul.ijs.
It might be stable enough now to start looking at what it can do for
performance. This is especially true if you have a higher end nvidia card.
--
I copied the first chapter of the book A Journey to Core Python (in
https://drive.google.com/file/d/1p1uIANh-LFniNNRqjDeeWWd4_-ddEZmz/view?usp=sharing)
and have the question: do we want that J is competitive with Python?
If the answer is yes, the next question is: what is the to do list to be
Hello all,
I find any parallels between python and J pretty interesting, being a
person with some python experience and an interest of the applications of
both python and J in mathematical modelling, analytics, computational math
and perhaps computational physics too.
If you'd like to bring some
On Sun, 30 Jan 2022, Michail L. Liarmakopoulos wrote:
There is also out there an amazing python library for symbolic calculations
(like the ones you can do with Mathematica or WolframAlpha: symbolic
evaluation of definite and indefinite integrals, symbolic solutions of
diff. equations, symbolic
Hello Elijah,
Yes, I believe you're right. I don't have much experience with them yet
though, so I cannot compare.
Best,
---
Michail L. Liarmakopoulos, MSc
On Sun, Jan 30, 2022, 21:04 Elijah Stone wrote:
> On Sun, 30 Jan 2022, Michail L. Liarmakopoulos wrote:
>
> > There is also out there an
So ...bench/matmul.ijs now has mpx, which now calls mptime, and returns
benchmarks for f64 and f32.
It’s fairly obvious what’s meant, but I’m getting two comments comparing J and
AF results, but they don’t state which of f36 or f64 applies. I’m
copy-typing, again, so typos rule:
J and AF r
The fp64 resuts match J in all 3 arrayfire backends for me. The fp32 differ on
all 3 backends. I think AMD gpus also match with fp64.
On Sunday, January 30, 2022, 05:33:08 p.m. EST, 'Mike Day' via Programming
wrote:
So ...bench/matmul.ijs now has mpx, which now calls mptime, and r
My point was just that it’s not made explicitly clear which comment applies to
which of fp32 or fp64. Easy enough to fix, of course.
Thanks,
Mike
Sent from my iPad
> On 30 Jan 2022, at 22:49, 'Pascal Jasmin' via Programming
> wrote:
>
> The fp64 resuts match J in all 3 arrayfire backends f
Yes, I've been thinking that a Dataframes equivalent in J would be useful.
Most things are already possible with J's arrays, but conceptually
DataFrames are well understood by many now, and they make it easy to work
with datasets as named fields.
I've spent a reasonable amount of time working with
https://code.jsoftware.com/wiki/Essays/Inverted_Table, perhaps?
That said, I think a great strength of j is that data are _not_ explicitly
tabular. The associations are defined in an ad-hoc manner as needed by
the programmer. This is also an essential difference between the array
paradigm an
Yes from a data structure point of view, inverted tables get you a lot of
the way (note they're also available in the 'general/misc' addon - load
'general/misc/inverted' ) and I've used them to good effect in my
'data/struct' addon (https://github.com/tikkanz/data_struct).
I agree that J's arrays a
The start-up experience is now much more informative & welcoming. Nice!
On my laptop (4 cores) with WSL using the cpu backend to run the matmul
benchmark,
it looks as though the point at which jaf outperforms native J matrix
multiplication is about 150x150
On Mon, Jan 31, 2022 at 7:14 AM Eric Ive
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