[Python-Dev] Profile Guided Optimization active by-default
Patrascu, Alecsandru
alecsandru.patrascu at intel.com
Sun Aug 23 08:59:25 CEST 2015
I removed the zip file and uploaded the patches individually.
Alecsandru
From: Brett Cannon [mailto:brett at python.org]
Sent: Sunday, August 23, 2015 4:47 AM
To: Patrascu, Alecsandru; python-dev at python.org
Subject: Re: [Python-Dev] Profile Guided Optimization active by-default
On Sat, 22 Aug 2015 at 11:10 Patrascu, Alecsandru <alecsandru.patrascu at intel.com> wrote:
I'm sorry, I forgot to mention this, I already opened an issue and the patches are uploaded [1].
[1] http://bugs.python.org/issue24915
Great, thanks Alecandru. Do please follow Stefan's comment, though, and upload the patch files directly and not as a zip file. That way we can use our code review tool to do a proper review of the patches.
-Brett
From: Brett Cannon [mailto:brett at python.org]
Sent: Saturday, August 22, 2015 9:00 PM
To: Patrascu, Alecsandru; python-dev at python.org
Subject: Re: [Python-Dev] Profile Guided Optimization active by-default
I just realized I didn't see anyone say it, but please upload the patches to bugs.Python.org for easier tracking and reviewing.
On Sat, Aug 22, 2015, 08:01 Patrascu, Alecsandru <alecsandru.patrascu at intel.com> wrote:
Hi All,
This is Alecsandru from Server Scripting Languages Optimization team at Intel Corporation.
I would like to submit a request to turn-on Profile Guided Optimization or PGO as the default build option for Python (both 2.7 and 3.6), given its performance benefits on a wide variety of workloads and hardware. For instance, as shown from attached sample performance results from the Grand Unified Python Benchmark, >20% speed up was observed. In addition, we are seeing 2-9% performance boost from OpenStack/Swift where more than 60% of the codes are in Python 2.7. Our analysis indicates the performance gain was mainly due to reduction of icache misses and CPU front-end stalls.
Attached is the Makefile patches that modify the all build target and adds a new one called "disable-profile-opt". We built and tested this patch for Python 2.7 and 3.6 on our Linux machines (CentOS 7/Ubuntu Server 14.04, Intel Xeon Haswell/Broadwell with 18/8 cores). We use "regrtest" suite for training as it provides the best performance improvement. Some of the test programs in the suite may fail which leads to build fail. One solution is to disable the specific failed test using the "-x " flag (as shown in the patch)
Steps to apply the patch:
1. hg clone https://hg.python.org/cpython cpython
2. cd cpython
3. hg update 2.7 (needed for 2.7 only)
4. Copy *.patch to the current directory
5. patch < python2.7-pgo.patch (or patch < python3.6-pgo.patch)
6. ./configure
7. make
To disable PGO
7b. make disable-profile-opt
In the following, please find our sample performance results from latest XEON machine, XEON Broadwell EP.
Hardware (HW): Intel XEON (Broadwell) 8 Cores
BIOS settings: Intel Turbo Boost Technology: false
Hyper-Threading: false
Operating System: Ubuntu 14.04.3 LTS trusty
OS configuration: CPU freq set at fixed: 2.6GHz by
echo 2600000 > /sys/devices/system/cpu/cpu*/cpufreq/scaling_min_freq
echo 2600000 > /sys/devices/system/cpu/cpu*/cpufreq/scaling_max_freq
Address Space Layout Randomization (ASLR) disabled (to reduce run to run variation) by
echo 0 > /proc/sys/kernel/randomize_va_space
GCC version: gcc version 4.8.4 (Ubuntu 4.8.4-2ubuntu1~14.04)
Benchmark: Grand Unified Python Benchmark (GUPB)
GUPB Source: https://hg.python.org/benchmarks/
Python2.7 results:
Python source: hg clone https://hg.python.org/cpython cpython
Python Source: hg update 2.7
hg id: 0511b1165bb6 (2.7)
hg id -r 'ancestors(.) and tag()': 15c95b7d81dc (2.7) v2.7.10
hg --debug id -i: 0511b1165bb6cf40ada0768a7efc7ba89316f6a5
Benchmarks Speedup(%)
simple_logging 20
raytrace 20
silent_logging 19
richards 19
chaos 16
formatted_logging 16
json_dump 15
hexiom2 13
pidigits 12
slowunpickle 12
django_v2 12
unpack_sequence 11
float 11
mako 11
slowpickle 11
fastpickle 11
django 11
go 10
json_dump_v2 10
pathlib 10
regex_compile 10
pybench 9.9
etree_process 9
regex_v8 8
bzr_startup 8
2to3 8
slowspitfire 8
telco 8
pickle_list 8
fannkuch 8
etree_iterparse 8
nqueens 8
mako_v2 8
etree_generate 8
call_method_slots 7
html5lib_warmup 7
html5lib 7
nbody 7
spectral_norm 7
spambayes 7
fastunpickle 6
meteor_contest 6
chameleon 6
rietveld 6
tornado_http 5
unpickle_list 5
pickle_dict 4
regex_effbot 3
normal_startup 3
startup_nosite 3
etree_parse 2
call_method_unknown 2
call_simple 1
json_load 1
call_method 1
Python3.6 results
Python source: hg clone https://hg.python.org/cpython cpython
hg id: 96d016f78726 tip
hg id -r 'ancestors(.) and tag()': 1a58b1227501 (3.5) v3.5.0rc1
hg --debug id -i: 96d016f78726afbf66d396f084b291ea43792af1
Benchmark Speedup(%)
fastunpickle 22.94
fastpickle 21.67
json_load 17.64
simple_logging 17.49
meteor_contest 16.67
formatted_logging 15.33
etree_process 14.61
raytrace 13.57
etree_generate 13.56
chaos 12.09
hexiom2 12
nbody 11.88
json_dump_v2 11.24
richards 11.02
nqueens 10.96
fannkuch 10.79
go 10.77
float 10.26
regex_compile 9.8
silent_logging 9.63
pidigits 9.58
etree_iterparse 9.48
2to3 8.44
regex_v8 8.09
regex_effbot 7.88
call_simple 7.63
tornado_http 7.38
etree_parse 4.92
spectral_norm 4.72
normal_startup 4.39
telco 3.88
startup_nosite 3.7
call_method 3.63
unpack_sequence 3.6
call_method_slots 2.91
call_method_unknown 2.59
iterative_count 0.45
threaded_count -2.79
Thank you,
Alecsandru
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