[Numpy-discussion] ANN: Numexpr 1.4 released

Christoph Gohlke cgohlke@uci....
Sun Aug 1 14:05:10 CDT 2010


Solid release as usual. Works well with the MKL.

Btw, numexpr-1.4.tar.gz is missing the win32/pthread.h file.

Christoph


On 8/1/2010 4:33 AM, Francesc Alted wrote:
> Hi,
>
> After the Theano talk in last EuroSciPy I suddenly realized that it would not
> be too difficult to implement a multi-threaded version of Numexpr.  Well, as
> usual I was terribly wrong and it took me a *long* week to do the job :-/
>
> Anyway the thing is done now, so... enjoy!
>
> Note for PyTables users:  Numexpr does not include changes in the API/ABI, so
> the upgrade from 1.3.1 is recommended.
>
> ========================
>   Announcing Numexpr 1.4
> ========================
>
> Numexpr is a fast numerical expression evaluator for NumPy.  With it,
> expressions that operate on arrays (like "3*a+4*b") are accelerated
> and use less memory than doing the same calculation in Python.
>
> What's new
> ==========
>
> The main improvement in this version is the support for
> multi-threading in pure C.  Threading in C provides the best
> performance in nowadays multi-core machines.  In addition, this avoids
> the GIL that hampers performance in many Python apps.
>
> Just to wet your appetite, look into this page where the
> implementation is briefly described and where some benchmarks are
> shown:
>
> http://code.google.com/p/numexpr/wiki/MultiThreadVM
>
> In case you want to know more in detail what has changed in this
> version, see:
>
> http://code.google.com/p/numexpr/wiki/ReleaseNotes
>
> or have a look at RELEASE_NOTES.txt in the tarball.
>
> Where I can find Numexpr?
> =========================
>
> The project is hosted at Google code in:
>
> http://code.google.com/p/numexpr/
>
> And you can get the packages from PyPI as well:
>
> http://pypi.python.org/pypi
>
> Share your experience
> =====================
>
> Let us know of any bugs, suggestions, gripes, kudos, etc. you may
> have.
>
>
> Enjoy!
>
>


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