We evaluated different tests before setting down and proposing regrtest suite
for PGO training, including using OpenStack benchmarks for OpenStack
applications. The regrtest suite was found consistently giving the best in
terms of performance across applications/workloads.
So I would hesitate
).
Hope that helps.
Peter
From: Ben Hoyt [mailto:benh...@gmail.com]
Sent: Monday, July 24, 2017 12:35 PM
To: Wang, Peter Xihong
Cc: Nathaniel Smith ; Python-Dev
Subject: Re: [Python-Dev] Program runs in 12s on Python 2.7, but 5s on Python
3.5 -- why so much difference?
Thanks for testing
Hi Ben,
Out of curiosity with a quick experiment, I ran your pentomino.py with 2.7.12
PGO+LTO build (Ubuntu OS 16.04.2 LTS default at /usr/bin/python), and compared
with 3.7.0 alpha1 PGO+LTO (which I built a while ago), on my SkyLake processor
based desktop, and 2.7 outperforms 3.7 by 3.5%.
On
Hello, All,
We have been tracking Python performance over the last 1.5 years, and results
(along with other languages) are published daily at this site:
https://languagesperformance.intel.com/
This general regression trend discussed is same as we observed.
The Python source codes are being pull
12:58 PM
To: Lukasz Langa
Cc: Wang, Peter Xihong ; python-dev@python.org
Subject: Re: [Python-Dev] re performance
2017-02-01 20:42 GMT+01:00 Lukasz Langa :
> However, this benchmark is incomplete in the sense that it only checks
> the compatibility mode of `regex`, whereas it's the
Regarding to the performance difference between "re" and "regex" and packaging
related options, we did a performance comparison using Python 3.6.0 to run some
micro-benchmarks in the Python Benchmark Suite
(https://github.com/python/performance):
Results in ms, and the lower the better (running
Hi Victor,
Thanks for the great contribution to the unified benchmark development! In
addition to the OutReachy program that we are currently supporting, let us know
how else we could help out in this effort.
Other than micros and benchmarking ideas, we'd also like to hear suggestions
from t
