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-rwxr-xr-xscripts/performance/topN_callgrind.py140
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
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+++ b/scripts/performance/topN_callgrind.py
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+#!/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')