Example fbench

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TODO: {{#todo:Review(12.03.13-14:18->JG+);(12.04.13-03:15->MD-);(12.04.13-14:18->JG+)|Jgreene|oe 4,oe 5,jg,md,Buggy}}

This is a guide to the fbench C example project included in the EMAC OE SDK.

Test the speed and accuracy of a system's floating point operations. This project is a floating point benchmark and accuracy testing application that utilizes ray tracing algorithms and Fast Fourier Transforms to test your CPU and floating point library to its limits. It's also a good example of a method of processor performance comparison and compiler optimization testing. This project is an excerpt from the fbench project by John Walker of Fourmilab. See John Walker's Floating Point Benchmarks project homepage for more information.

The fbench project builds two executables: fbench and ffbench.

fbench is a trigonometry intensive floating point benchmark. It is a complete optical design raytracing algorithm, shorn of its ui.

ffbench is a Fast Fourier Transform benchmark. It loops through a fast Fourier transform of a square matrix of complex numbers, reverses the transform and then checks the results.

Opening, Building and Uploading the Project Files

1. Open the C/C++ editing perspective.


2. Open the fbench project files.


3. Build the fbench project.


4. Upload the fbench and ffbench executables to the target system.


Usage and Behavior

Hardware Requirements

The fbench project is intended for use on C implementations that define int as 32 bits or longer and permit allocation and direct addressing of arrays larger than one megabyte.

Using fbench

The fbench program is executed from the console. It takes a single optional parameter.

./fbench <itercount>

Where <itercount> specifies the number of iterations to be performed, with 1,000 being the default.
For archival purposes you'll want to use a value slightly higher than 1,000.

Usage Example

root@som9g20:/tmp# ./fbench 2000
Ready to begin John Walker's floating point accuracy
and performance benchmark.  2000 iterations will be made.

Measured run time in seconds should be divided by 2
to normalise for reporting results.  For archival results,
adjust iteration count so the benchmark runs about five minutes.

Press return to begin benchmark:

After fbench is finished it prompts us to stop the timer (by pressing return).

Stop the timer:

Press return...

No errors in results.

...and fbench reports that no errors were found in our floating point operations.

A Note on Suspicious Systems

The default functionality as described above is for systems that you can trust to be basically reliable. If you are working with a system that you suspect has issues then you can compile fbench with ACCURACY defined. This will generate a version that executes as an infinite loop, performing the ray trace and checking the results on every pass. All incorrect results will be reported. It will keep running until you stop it manually (using, say, CTRL-C).

Using ffbench

The ffbench program is executed from the console. It takes no parameters.


Usage Example

root@som9g20:/tmp# ./ffbench
20 passes.  No errors in results.

It runs until it is finished and then reports what it discovered. In this case it performed 20 passes (the default, specified in code) and found no errors. HEY MIKE yes the time elapsed is important. no the program does not report it. want me to put it in?


The fbench floating point benchmark C example tests the speed and accuracy of your floating point operations. It also provides an excellent example of code addressing processor performance comparison and compiler optimization. We hope this guide was informative.