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That's all we know. X-Spam_score_int: -20 X-Spam_score: -2.1 X-Spam_bar: -- X-Spam_report: (-2.1 / 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, 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: aleksandar.qemu.devel@gmail.com Errors-To: qemu-devel-bounces+qemu-devel=archiver.kernel.org@nongnu.org Sender: "Qemu-devel" From: Ahmed Karaman Python script that dissects QEMU execution into three main phases: code generation, JIT execution and helpers execution. Syntax: dissect.py [-h] -- [] \ [] [-h] - Print the script arguments help message. Example of usage: dissect.py -- qemu-arm coulomb_double-arm Example output: Total Instructions: 4,702,865,362 Code Generation: 115,819,309 2.463% JIT Execution: 1,081,980,528 23.007% Helpers: 3,505,065,525 74.530% Signed-off-by: Ahmed Karaman Signed-off-by: Aleksandar Markovic Reviewed-by: Aleksandar Markovic Message-Id: <20200702142942.4887-2-ahmedkhaledkaraman@gmail.com> --- scripts/performance/dissect.py | 165 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 165 insertions(+) create mode 100755 scripts/performance/dissect.py diff --git a/scripts/performance/dissect.py b/scripts/performance/dissect.py new file mode 100755 index 0000000..8c2967d --- /dev/null +++ b/scripts/performance/dissect.py @@ -0,0 +1,165 @@ +#!/usr/bin/env python3 + +# Print the percentage of instructions spent in each phase of QEMU +# execution. +# +# Syntax: +# dissect.py [-h] -- [] \ +# [] +# +# [-h] - Print the script arguments help message. +# +# Example of usage: +# dissect.py -- 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 + + +def get_JIT_line(callgrind_data): + """ + Search for the first instance of the JIT call in + the callgrind_annotate output when ran using --tree=caller + This is equivalent to the self number of instructions of JIT. + + Parameters: + callgrind_data (list): callgrind_annotate output + + Returns: + (int): Line number + """ + line = -1 + for i in range(len(callgrind_data)): + if callgrind_data[i].strip('\n') and \ + callgrind_data[i].split()[-1] == "[???]": + line = i + break + if line == -1: + sys.exit("Couldn't locate the JIT call ... Exiting.") + return line + + +def main(): + # Parse the command line arguments + parser = argparse.ArgumentParser( + usage='dissect.py [-h] -- ' + ' [] ' + ' []') + + parser.add_argument('command', type=str, nargs='+', help=argparse.SUPPRESS) + + args = parser.parse_args() + + # Extract the needed variables from the args + command = args.command + + # Insure that valgrind is installed + check_valgrind = subprocess.run( + ["which", "valgrind"], stdout=subprocess.DEVNULL) + if check_valgrind.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", "--tree=caller"], + 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_instructions = total_instructions_line_data.split()[0] + total_instructions = int(total_instructions.replace(',', '')) + + # Line number with the JIT self number of instructions + JIT_self_instructions_line_number = get_JIT_line(callgrind_data) + # Get the JIT self number of instructions + JIT_self_instructions_line_data = \ + callgrind_data[JIT_self_instructions_line_number] + JIT_self_instructions = JIT_self_instructions_line_data.split()[0] + JIT_self_instructions = int(JIT_self_instructions.replace(',', '')) + + # Line number with the JIT self + inclusive number of instructions + # It's the line above the first JIT call when running with --tree=caller + JIT_total_instructions_line_number = JIT_self_instructions_line_number - 1 + # Get the JIT self + inclusive number of instructions + JIT_total_instructions_line_data = \ + callgrind_data[JIT_total_instructions_line_number] + JIT_total_instructions = JIT_total_instructions_line_data.split()[0] + JIT_total_instructions = int(JIT_total_instructions.replace(',', '')) + + # Calculate number of instructions in helpers and code generation + helpers_instructions = JIT_total_instructions - JIT_self_instructions + code_generation_instructions = total_instructions - JIT_total_instructions + + # Print results (Insert commas in large numbers) + # Print total number of instructions + print('{:<20}{:>20}\n'. + format("Total Instructions:", + format(total_instructions, ','))) + # Print code generation instructions and percentage + print('{:<20}{:>20}\t{:>6.3f}%'. + format("Code Generation:", + format(code_generation_instructions, ","), + (code_generation_instructions / total_instructions) * 100)) + # Print JIT instructions and percentage + print('{:<20}{:>20}\t{:>6.3f}%'. + format("JIT Execution:", + format(JIT_self_instructions, ","), + (JIT_self_instructions / total_instructions) * 100)) + # Print helpers instructions and percentage + print('{:<20}{:>20}\t{:>6.3f}%'. + format("Helpers:", + format(helpers_instructions, ","), + (helpers_instructions/total_instructions)*100)) + + # Remove intermediate files + os.unlink('/tmp/callgrind.data') + os.unlink('/tmp/callgrind_annotate.out') + + +if __name__ == "__main__": + main()