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That's all we know. X-Spam_score_int: -10 X-Spam_score: -1.1 X-Spam_bar: - X-Spam_report: (-1.1 / 5.0 requ) BAYES_00=-1.9, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, DKIM_VALID_EF=-0.1, FREEMAIL_FROM=0.001, PDS_OTHER_BAD_TLD=1, RCVD_IN_DNSWL_NONE=-0.0001, SPF_HELO_NONE=0.001, SPF_PASS=-0.001, URIBL_BLOCKED=0.001 autolearn=_AUTOLEARN X-Spam_action: no action X-BeenThere: qemu-devel@nongnu.org X-Mailman-Version: 2.1.23 Precedence: list List-Id: List-Unsubscribe: , List-Archive: List-Post: List-Help: List-Subscribe: , Cc: Ahmed Karaman Errors-To: qemu-devel-bounces+importer=patchew.org@nongnu.org Sender: "Qemu-devel" X-ZohoMail-DKIM: pass (identity @gmail.com) Content-Transfer-Encoding: quoted-printable MIME-Version: 1.0 Content-Type: text/plain; charset="utf-8" Python script that prints the top N most executed functions in QEMU using callgrind. Syntax: topN_callgrind.py [-h] [-n] -- \ [] \ [] [-h] - Print the script arguments help message. [-n] - Specify the number of top functions to print. - If this flag is not specified, the tool defaults to 25. Example of usage: topN_callgrind.py -n 20 -- qemu-arm coulomb_double-arm Example Output: No. Percentage Name Source File ---- --------- ------------------ ------------------------------ 1 24.577% 0x00000000082db000 ??? 2 20.467% float64_mul /fpu/softfloat.c 3 14.720% float64_sub /fpu/softfloat.c 4 13.864% float64_add /fpu/softfloat.c 5 4.876% helper_mulsd /target/i386/ops_sse.h 6 3.767% helper_subsd /target/i386/ops_sse.h 7 3.549% helper_addsd /target/i386/ops_sse.h 8 2.185% helper_ucomisd /target/i386/ops_sse.h 9 1.667% helper_lookup_tb_ptr /include/exec/tb-lookup.h 10 1.662% f64_compare /fpu/softfloat.c 11 1.509% helper_lookup_tb_ptr /accel/tcg/tcg-runtime.c 12 0.635% helper_lookup_tb_ptr /include/exec/exec-all.h 13 0.616% float64_div /fpu/softfloat.c 14 0.502% helper_pand_xmm /target/i386/ops_sse.h 15 0.502% float64_mul /include/fpu/softfloat.h 16 0.476% helper_lookup_tb_ptr /target/i386/cpu.h 17 0.437% float64_compare_quiet /fpu/softfloat.c 18 0.414% helper_pxor_xmm /target/i386/ops_sse.h 19 0.353% round_to_int /fpu/softfloat.c 20 0.347% helper_cc_compute_all /target/i386/cc_helper.c Signed-off-by: Ahmed Karaman --- scripts/performance/topN_callgrind.py | 139 ++++++++++++++++++++++++++ 1 file changed, 139 insertions(+) create mode 100755 scripts/performance/topN_callgrind.py diff --git a/scripts/performance/topN_callgrind.py b/scripts/performance/to= pN_callgrind.py new file mode 100755 index 0000000000..6136f72a74 --- /dev/null +++ b/scripts/performance/topN_callgrind.py @@ -0,0 +1,139 @@ +#!/usr/bin/env python3 + +# Print the top N most executed functions in QEMU using callgrind. +# Syntax: +# topN_callgrind.py [-h] [-n] -- \ +# [] \ +# [] +# +# [-h] - Print the script arguments help message. +# [-n] - Specify the number of top functions to print. +# - If this flag is not specified, the tool defaults to 25. +# +# Example of usage: +# topN_callgrind.py -n 20 -- qemu-arm coulomb_double-arm +# +# This file is a part of the project "TCG Continuous Benchmarking". +# +# Copyright (C) 2020 Ahmed Karaman +# Copyright (C) 2020 Aleksandar Markovic +# +# This program is free software: you can redistribute it and/or modify +# it under the terms of the GNU General Public License as published by +# the Free Software Foundation, either version 2 of the License, or +# (at your option) any later version. +# +# This program is distributed in the hope that it will be useful, +# but WITHOUT ANY WARRANTY; without even the implied warranty of +# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the +# GNU General Public License for more details. +# +# You should have received a copy of the GNU General Public License +# along with this program. If not, see . + +import argparse +import os +import subprocess +import sys + + +# Parse the command line arguments +parser =3D argparse.ArgumentParser( + usage=3D'topN_callgrind.py [-h] [-n] -- ' + ' [] ' + ' []') + +parser.add_argument('-n', dest=3D'top', type=3Dint, default=3D25, + help=3D'Specify the number of top functions to print.') + +parser.add_argument('command', type=3Dstr, nargs=3D'+', help=3Dargparse.SU= PPRESS) + +args =3D parser.parse_args() + +# Extract the needed variables from the args +command =3D args.command +top =3D args.top + +# Insure that valgrind is installed +check_valgrind =3D subprocess.run( + ["which", "valgrind"], stdout=3Dsubprocess.DEVNULL) +if check_valgrind.returncode: + sys.exit("Please install valgrind before running the script!") + +# Run callgrind +callgrind =3D subprocess.run((["valgrind", "--tool=3Dcallgrind", + "--callgrind-out-file=3Dcallgrind.data"] + co= mmand), + stdout=3Dsubprocess.DEVNULL, stderr=3Dsubproces= s.PIPE) +if callgrind.returncode: + sys.exit(callgrind.stderr.decode("utf-8")) + +# Save callgrind_annotate output to callgrind_annotate.out +with open("callgrind_annotate.out", "w") as output: + callgrind_annotate =3D subprocess.run( + ["callgrind_annotate", "callgrind.data"], + stdout=3Doutput, + stderr=3Dsubprocess.PIPE) + if callgrind_annotate.returncode: + os.unlink('callgrind.data') + output.close() + os.unlink('callgrind_annotate.out') + sys.exit(callgrind_annotate.stderr.decode("utf-8")) + + +# Read the callgrind_annotate output to callgrind_data[] +callgrind_data =3D [] +with open('callgrind_annotate.out', 'r') as data: + callgrind_data =3D data.readlines() + +# Line number with the total number of instructions +total_instructions_line_number =3D 20 + +# Get the total number of instructions +total_instructions_line_data =3D callgrind_data[total_instructions_line_nu= mber] +total_number_of_instructions =3D total_instructions_line_data.split(' ')[0] +total_number_of_instructions =3D int( + total_number_of_instructions.replace(',', '')) + +# Line number with the top function +first_func_line =3D 25 + +# Number of functions recorded by callgrind, last two lines are always emp= ty +number_of_functions =3D len(callgrind_data) - first_func_line - 2 + +# Limit the number of top functions to "top" +number_of_top_functions =3D (top if number_of_functions > + top else number_of_functions) + +# Store the data of the top functions in top_functions[] +top_functions =3D callgrind_data[first_func_line: + first_func_line + number_of_top_functions] + +# Print table header +print('{:>4} {:>10} {:<30} {}\n{} {} {} {}'.format('No.', + 'Percentage', + 'Name', + 'Source File', + '-' * 4, + '-' * 10, + '-' * 30, + '-' * 30, + )) + +# Print top N functions +for (index, function) in enumerate(top_functions, start=3D1): + function_data =3D function.split() + # Calculate function percentage + function_instructions =3D float(function_data[0].replace(',', '')) + function_percentage =3D (function_instructions / + total_number_of_instructions)*100 + # Get function name and source files path + function_source_path, function_name =3D function_data[1].split(':') + # Print extracted data + print('{:>4} {:>9.3f}% {:<30} {}'.format(index, + round(function_percentage,= 3), + function_name, + function_source_path)) + +# Remove intermediate files +os.unlink('callgrind.data') +os.unlink('callgrind_annotate.out') --=20 2.17.1