Re: [pypy-dev] NumPyPy vs NumPy

2016-07-27 Thread Yury V. Zaytsev
Hi, On Wed, 27 Jul 2016, Papa, Florin wrote: I have been working with NumPyPy to evaluate its performance and it seems significantly slower compared to CPython NumPy or even PyPy NumPy (installed with pip). After having a brief look at the your table, I'm very confused by this assessment:

Re: [pypy-dev] NumPyPy vs NumPy

2016-07-27 Thread Richard Plangger
Hi, > Is there an official benchmark suite for NumPy or a more relevant workload to > compare against CPython? What is NumPyPy's maturity / adoption rate from your > knowledge? I do not think there is. I have been looking for something similar for over a year. It seems though people tend to mak

Re: [pypy-dev] NumPyPy vs NumPy

2016-07-27 Thread Papa, Florin
Hi Yury, The table contains run time values, normalized to the CPython Numpy results. This means that a value of 1 is equal to the CPython NumPy result, less than 1 means faster than CPython NumPy and more than 1 is slower than CPython NumPy. Let's consider the following line in the table: Benc

Re: [pypy-dev] NumPyPy vs NumPy

2016-07-27 Thread Yury V. Zaytsev
Hi Florin, On Wed, 27 Jul 2016, Papa, Florin wrote: The table contains run time values, normalized to the CPython Numpy results. This means that a value of 1 is equal to the CPython NumPy result, less than 1 means faster than CPython NumPy and more than 1 is slower than CPython NumPy. Thank

Re: [pypy-dev] NumPyPy vs NumPy

2016-07-27 Thread Papa, Florin
I am sorry, I mistakenly switched the header of the table, the middle column is actually the result for PyPy NumPyPy. The correct table is this: Benchmark CPython NumPy PyPy NumPyPy PyPy NumPy cauchy 1 5.838852812 4.866947551 pointbypoint1 4.922654347

Re: [pypy-dev] NumPyPy vs NumPy

2016-07-27 Thread Matti Picus
On 27/07/2016 3:35 AM, Papa, Florin wrote: I am sorry, I mistakenly switched the header of the table, the middle column is actually the result for PyPy NumPyPy. The correct table is this: Benchmark CPython NumPy PyPy NumPyPy PyPy NumPy cauchy 1 5.838852812 4.8669