On 22/07/2012 02:29, Gilles Sadowski wrote:
> On Sat, Jul 21, 2012 at 11:41:45AM -0700, Ted Dunning wrote:
>> The easy way to get much of this benefit is to simply use multi-threaded
>> versions of Atlas via jblas.  Probably not viable given the no dependency
>> posture of commons math.
>>
> 
> When referring to multi-threading, I was not specifically and not only
> referring to linear algebra.

+1.

> Moreover, I don't see the interest of CM being yet another layer above those
> Fortran codes. [If so, why would we limit ourselves to matrices? There are
> other libraries which could be wrapped...]

+1

> Personally, I consider that the no-dependency should be confined to the core
> business of CM, i.e. it's a distinct feature of CM to provide pure Java,
> from scratch, implementations of numerical tools.[1]
> [As I've already stated, CM could still benefit from other (pure Java)
> projects (i.e. depend on them), e.g. for things like logging.]

-1, but we could speak again about this for 4.0. The development team
has evolved a lot, the use of [math] has increased a lot, so it would be
worth making sure we are still in line with everybody expectations or if
we should change this principle some time.

best regards,
Luc

> 
> 
> Regards,
> Gilles
> 
> [1] For some project, pure Java is a requirement.
> 
> 
>>> Hi.
>>>
>>> My previous post (with subject "Synchronisation") made me think (again)
>>> that
>>> it might be useful to start considering how to take advantage of
>>> multi-threading in Commons Math.
>>> Indeed, it seems that some parts of the library might end up not being used
>>> anymore because their performance simply cannot match competing
>>> implementations that do benefit form parallelization. [The recent example
>>> that comes to mind is the FFT.]
>>>
>>>
>>> Best regards,
>>> Gilles
>>>
> 
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