I see now Dragan; you're concerned not about whether easily implementing
and swapping in/out implementations of core.matrix is possible, but whether
it can be done while maintaining the performance characteristics of
Neanderthal, yes? That did not come through in your earlier comments in
this thread.

Certainly, performance is one of those things that can leak in an
abstraction. But I'd like to echo Matt's enquiry: If you think a unified
API might be possible but that core.matrix isn't it, I think we'd all love
to hear what you think it's missing and/or what would would need to be
rearchitected in order for it to fit the bill.

As for any sort of "responsibility" to implement core.matrix, I don't think
anyone is arguing you have such a responsibility, and I hope our _pleading_
hasn't come across as such. We are simply impressed with your work, and
would like to take advantage of it, but also see a "drawback" you don't: at
present Neanderthal is less interoperable with many existing tools, and
"trying it out" on an existing project would require a rewrite (as would
migrating away from it if we weren't happy).

Certainly, a third party library implementing core.matrix with Neanderthal
is a possibility, but I'm a bit worried that a) it would add extra burden
keeping things in sync and feel a little second class; and more importantly
b) it might be easier to maintain more of the performance benefits if it's
directly integrating (I could imagine less indirection this way, but could
be totally wrong). So let me ask you this:

Assuming a) someone forks Neanderthal and makes a core.matrix
implementation with close performance parity to the direct Neanderthal API
and/or b) folks working on core.matrix are able to address some of your
issues with the core.matrix architecture, would you consider a merge?


With gratitude

Chris



On Fri, Jun 19, 2015 at 1:45 PM, Matt Revelle <mreve...@gmail.com> wrote:

> On Friday, June 19, 2015 at 4:57:32 AM UTC-4, Dragan Djuric wrote:
>>
>> I do not even claim that an unified api is not possible. I think that to
>> some extent it is. I just doubt in core.matrix eligibility for THE api in
>> numerical computing. For it makes easy things easy and hard things
>> impossible.
>
>
> Are you saying you don't believe core.matrix should be _the_ abstract API
> for matrices/arrays in Clojure? If so, what are your concerns? Feel free to
> point to me a previous post if it's already been stated. It also sounds
> like you're alluding to the thread in the Numerical Clojure group about a
> broad "numerical computing lib" for complex numbers and various math
> functions, but I'm not following how that matters here.
>
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