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 it's limits. It's also a good example of a method of processor performance comparison and compiler optimization testing. It's an excerpt from the
fbench project by John Walker of Fourmilab. See John Walker's Floating Point Benchmarks project homepage for more information.
fbench project builds two executables:
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
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.
fbench program is executed from the console. It takes a single optional parameter.
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.
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:
No errors in results.
fbench reports that no errors were found in our floating point operations.
A note on suspect systems.
The default functionality of
fbench is for systems that you can trust to be basically reliable. If you're working with a system that you suspect has issues then you can compile
ACCURACY defined. This will generate a version which 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).
The ffbench program is executed from the console. It takes no parameters.
root@som9g20:/tmp# ./ffbench 20 passes. No errors in results.
NOTE: ----- The important thing to note about how long it takes is that this example is included so that customers can determine the relative speed of our different boards. The transformation is also not a "dance." It runs until it is finished (30 seconds or so, depending on the speed of your system). It performed 20 iterations of our Fast Fourier Transform dance and discovered no errors.
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.