Re: [Numpy-discussion] NumPy in PyPy

[Papa, Florin]

On Sat, Aug 6, 2016 at 9:20 AM, Benjamin Root  wrote:
> Don't know if it is what you are looking for, but NumPy has a built-in suite 
> of benchmarks: 
> http://docs.scipy.org/doc/numpy/reference/generated/numpy.testing.Tester.bench.html

> That's the very old (now unused) benchmark runner. Numpy has had an ASV test 
> suite for a while, see https://github.com/numpy/numpy/tree/master/benchmarks 
> for how to run it.
 
> Also, some projects have taken to utilizing the "airspeed velocity" utility 
> to track benchmarking stats for their projects. I know astropy utilizes it. 
> So, maybe their benchmarks might be a good starting point since they utilize 
> numpy heavily?

> Cheers!
> Ben Root

>> On Fri, Aug 5, 2016 at 3:42 AM, Papa, Florin  wrote:
>> Hi,
 
>> This is Florin Papa from the Dynamic Scripting Languages Optimizations team 
>> in Intel Corporation.
 
>> Our team is working on optimizing the PyPy interpreter and part of this work 
>> is to find and fix incompatibilities between NumPy and PyPy. Does anyone 
>> have knowledge of real life workloads that use NumPy and cannot be run using 
>> PyPy?
 
>> We are also interested in creating a repository with relevant benchmarks for 
>> real world usage of NumPy, like GUPB for CPython, but we have not found such 
>> workloads for NumPy.
 
>> The approach of GUPB is interesting (the whole application part that is, the 
>> rest looks much more cumbersome than ASV benchmarks), but of course easier 
>> to create for Python than for Numpy. You'd need to find whole applications 
>> that spend most of their time in numpy but not in too small a set of numpy 
>> functions. Maybe benchmark suites of other projects aren't such a bad idea 
>> for that. Or spend a bit of time collecting relevant published ipython 
>> notebooks.
>> Ralf

Astropy definitely looks like a good candidate for a real life workload. Thank 
you also for the useful information on ASV.

Regards,
Florin
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Re: [Numpy-discussion] NumPy in PyPy

[Papa, Florin]

> We have a numpy --  heavy app. bu tit, like many others, I'm sure, also 
> relies heavily on Cython-wrapped C++ code, as well as pure Cython extensions.
> 
> As well as many other packages that are also wrappers around C libs, Cython 
> -optimized, etc.
> 
> I've never tried to run it under PyPy I've always assumed it's a non-starter.
> 
> Is there any hope?
> 
> 
> If you are curious:
> 
> https://github.com/NOAA-ORR-ERD/PyGnome
> 
> -CHB

Hi Christopher,

Thank you for the information, I will investigate whether we can use PyPy for 
this workload.

Regards,
Florin
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[Numpy-discussion] NumPy in PyPy

[Papa, Florin]

Hi,

This is Florin Papa from the Dynamic Scripting Languages Optimizations team in 
Intel Corporation.

Our team is working on optimizing the PyPy interpreter and part of this work is 
to find and fix incompatibilities between NumPy and PyPy. Does anyone have 
knowledge of real life workloads that use NumPy and cannot be run using PyPy?

We are also interested in creating a repository with relevant benchmarks for 
real world usage of NumPy, like GUPB for CPython, but we have not found such 
workloads for NumPy.

Thank you,
Florin
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