Francesc Alted

_From [[email protected]](https://code.google.com/u/100521027555802555092/) on March 03, 2012 23:16:39_ I can reproduce this issue. It looks like sum (even on a single array) is not using multiple threads and anything inside the...

_From [[email protected]](https://code.google.com/u/114215716443835783112/) on July 31, 2012 08:59:38_ +1 In a use case I am encountering, the numexpr.evaluate("sum(a)") version is takes over 60s to complete, uses only one core, BUT keeps...

_From [[email protected]](https://code.google.com/u/107846061536121574655/) on July 31, 2012 11:05:10_ I don't think default ndarray.sum() method is capable of using more than one core. The dirty workaround I use for myself now is...

Right now numexpr is in pure maintenance mode. I typically still have time though to revise pull requests and merge them if appropriate, but not much more than this. So...

_From [[email protected]](https://code.google.com/u/108177750883662541918/) on August 15, 2013 13:51:34_ This is affecting me too. Doesn't local_dict={'r':img['r']} allocate additional memory? As much of the numexpr functionality is centered around numpy arrays, I feel...

2017-09-14 17:45 GMT+02:00 Robert McLeod : > Hi Frédéric, thanks for the suggestion. One problem I can see is a lot of > people who have NumExpr installed don't have...

Yeah, thread pinning could help, specially on setups where there are separate CPUs. Perhaps that would be a case of over-optimization, but at any rate, it would be a good...

That's weird indeed, but I must say that I don't use to do any benchmark on Windows. FWIW Numexpr on Windows is using an emulation of the pthreads API that...

FeatureDetector looks nice, although I am lately quite reluctant to include C++ code in my projects (it has bitten me in a few occasions already). But again, looks nice enough.

I think the best is to see how others added support for other functions. Here you have a couple of examples: https://github.com/pydata/numexpr/pull/125 https://github.com/pydata/numexpr/pull/135 I think the former is closer to...