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| -rwxr-xr-x | scripts/performance/topN_callgrind.py | 140 |
1 files changed, 140 insertions, 0 deletions
diff --git a/scripts/performance/topN_callgrind.py b/scripts/performance/topN_callgrind.py new file mode 100755 index 0000000..67c5919 --- /dev/null +++ b/scripts/performance/topN_callgrind.py @@ -0,0 +1,140 @@ +#!/usr/bin/env python3 + +# Print the top N most executed functions in QEMU using callgrind. +# Syntax: +# topN_callgrind.py [-h] [-n] <number of displayed top functions> -- \ +# <qemu executable> [<qemu executable options>] \ +# <target executable> [<target execurable options>] +# +# [-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 <ahmedkhaledkaraman@gmail.com> +# Copyright (C) 2020 Aleksandar Markovic <aleksandar.qemu.devel@gmail.com> +# +# 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 <https://www.gnu.org/licenses/>. + +import argparse +import os +import subprocess +import sys + + +# Parse the command line arguments +parser = argparse.ArgumentParser( + usage='topN_callgrind.py [-h] [-n] <number of displayed top functions> -- ' + '<qemu executable> [<qemu executable options>] ' + '<target executable> [<target executable options>]') + +parser.add_argument('-n', dest='top', type=int, default=25, + help='Specify the number of top functions to print.') + +parser.add_argument('command', type=str, nargs='+', help=argparse.SUPPRESS) + +args = parser.parse_args() + +# Extract the needed variables from the args +command = args.command +top = args.top + +# Insure that valgrind is installed +check_valgrind_presence = subprocess.run(["which", "valgrind"], + stdout=subprocess.DEVNULL) +if check_valgrind_presence.returncode: + sys.exit("Please install valgrind before running the script!") + +# Run callgrind +callgrind = subprocess.run(( + ["valgrind", "--tool=callgrind", "--callgrind-out-file=/tmp/callgrind.data"] + + command), + stdout=subprocess.DEVNULL, + stderr=subprocess.PIPE) +if callgrind.returncode: + sys.exit(callgrind.stderr.decode("utf-8")) + +# Save callgrind_annotate output to /tmp/callgrind_annotate.out +with open("/tmp/callgrind_annotate.out", "w") as output: + callgrind_annotate = subprocess.run(["callgrind_annotate", + "/tmp/callgrind.data"], + stdout=output, + stderr=subprocess.PIPE) + if callgrind_annotate.returncode: + os.unlink('/tmp/callgrind.data') + output.close() + os.unlink('/tmp/callgrind_annotate.out') + sys.exit(callgrind_annotate.stderr.decode("utf-8")) + +# Read the callgrind_annotate output to callgrind_data[] +callgrind_data = [] +with open('/tmp/callgrind_annotate.out', 'r') as data: + callgrind_data = data.readlines() + +# Line number with the total number of instructions +total_instructions_line_number = 20 + +# Get the total number of instructions +total_instructions_line_data = callgrind_data[total_instructions_line_number] +total_number_of_instructions = total_instructions_line_data.split(' ')[0] +total_number_of_instructions = int( + total_number_of_instructions.replace(',', '')) + +# Line number with the top function +first_func_line = 25 + +# Number of functions recorded by callgrind, last two lines are always empty +number_of_functions = len(callgrind_data) - first_func_line - 2 + +# Limit the number of top functions to "top" +number_of_top_functions = (top if number_of_functions > + top else number_of_functions) + +# Store the data of the top functions in top_functions[] +top_functions = callgrind_data[first_func_line: + first_func_line + number_of_top_functions] + +# Print table header +print('{:>4} {:>10} {:<30} {}\n{} {} {} {}'.format('No.', + 'Percentage', + 'Function Name', + 'Source File', + '-' * 4, + '-' * 10, + '-' * 30, + '-' * 30, + )) + +# Print top N functions +for (index, function) in enumerate(top_functions, start=1): + function_data = function.split() + # Calculate function percentage + function_instructions = float(function_data[0].replace(',', '')) + function_percentage = (function_instructions / + total_number_of_instructions)*100 + # Get function name and source files path + function_source_file, function_name = function_data[1].split(':') + # Print extracted data + print('{:>4} {:>9.3f}% {:<30} {}'.format(index, + round(function_percentage, 3), + function_name, + function_source_file)) + +# Remove intermediate files +os.unlink('/tmp/callgrind.data') +os.unlink('/tmp/callgrind_annotate.out') |