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TimedExec – README % by LoRd_MuldeR <mulder2@gmx> | http://muldersoft.com/

Introduction

TimedExec is a small utility for benchmarking command-line programs. It will execute the specified program with the specified command-line arguments and then measure the time that it takes for the execution to complete. In order to obtain accurate results, all measurements are implemented via high-resolution performance timers. And, since program execution times unavoidably are subject to certain variations (e.g. due to environmental noise), each test will be repeated multiple times. The number of metering passes can be configured as desired. Optionally, a number of "warm-up" passes can be performed prior to the first metering pass. The warm-up passes prevent caching effects from interfering with the execution times.

TimedExec will then compute the mean execution time as well as the median execution time of all metering passes. It will also record the fastest and slowest execution time that has been measured. Furthermore, TimedExec computes the standard error in order to determine confidence intervals from the benchmarking results^[Konfidenzintervalle so einfach wie möglich erklärt]. These are the ranges which contain the program's “real” average execution time (expected value), with very high probability. All results will be saved to a log file.

Usage Instructions

TimedExec uses a very simple command-line syntax. Just type TimedExec, followed by the program that you want to benchmark. Optionally, any number arguments can be appended; these parameters will be passed to the program.

Note: Some options that influence the behavior of TimedExec can be controlled via environment variables.

===============================================================================
Timed Exec - Benchmarking Utility, Version 1.03
Copyright (c) 2018 LoRd_MuldeR <mulder2@gmx.de>. Some rights reserved.

This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License <http://www.gnu.org/>.
Note that this program is distributed with ABSOLUTELY NO WARRANTY.
===============================================================================

Usage:
  TimedExec.exe <Program.exe> [Arguments]

Influential environment variables:
  TIMED_EXEC_PASSES        - Number of execution passes (default: 5)
  TIMED_EXEC_WARMUP_PASSES - Number of warm-up passes (default: 1)
  TIMED_EXEC_LOGFILE       - Log-File Name (default: "TimedExec.log")
  TIMED_EXEC_NO_CHECKS     - Set this to *disable* exit code checks

Usage Example

In the following example we use TimedExec to benchmark the program ping.exe with the arguments -n 12 www.google.com. By default, the command will be executed five times, preceded by a single "warm-up" pass:

TimedExec.exe C:\Windows\System32\ping.exe -n 12 www.google.com

Results

The resulting output, after all metering passes have been completed, looks like this:

===============================================================================
TEST COMPLETED SUCCESSFULLY AFTER 5 METERING PASSES
-------------------------------------------------------------------------------
Mean Execution Time     : 24.687 seconds
Median Execution Time   : 20.522 seconds
90% Confidence Interval : +/- 6.330 (25.643%) = [18.357, 31.018] seconds
95% Confidence Interval : +/- 7.543 (30.553%) = [17.144, 32.230] seconds
99% Confidence Interval : +/- 9.913 (40.156%) = [14.774, 34.600] seconds
Standard Deviation      : 7.697 seconds
Standard Error          : 3.848 seconds
Fastest / Slowest Pass  : 19.739 / 37.916 seconds
===============================================================================

Interpretation

When comparing measurement results, the mean (average) execution time may seem like the most obvious choice. However, it has to be noted that the mean of a data sample is highly sensitive to “outliers” and therefore can be misleading! This is especially true, when there exists a lot of variation in the data sample. Consequently, comparing the median execution times usually is the preferable choice. That is because the median of a data sample is much more robust against outliers.

Furthermore, it is important to keep in mind that the mean (or median) execution time computed from a limited number of metering passes only yields an estimate of the program's “real” average execution time (expected value). The “real” value can only be determined accurately from an infitinte number of metering passes – which is not possible in practice. In this situation, we can have a look at the confidence intervals. These intervals contain the “real” value, with very high probability. The most commonly used confidence interval is the “95%” one (higher confidence means broader interval, and vice versa).

Simply put, as long as the confidence intervals of program A and program B overlap (at least partially), we must not conclude that either of these programs runs faster (or slower) in the average case. No conclusion can be drawn in that case!

Sources

The TimedExec source codes are managed by Git and are available from one of the official mirrors:

• https://github.com/lordmulder/TimedExec.git (Browse)
• https://bitbucket.org/muldersoft/timedexec.git (Browse)
• https://gitlab.com/timedexec/timedexec.git (Browse)

License

TimedExec is released under the terms of the GNU General Public License, version 2.

Timed Exec - Command-Line Benchmarking Utility
Copyright (c) 2018 LoRd_MuldeR <mulder2@gmx.de>. Some rights reserved.

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, write to the Free Software
Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA  02110-1301, USA.

http://www.gnu.org/licenses/gpl-2.0.txt

e.o.f.