Super PI is a computer program that calculates pi to a specified number of digits after the decimal point—up to a maximum of 32 million. It uses Gauss–Legendre algorithm and is a Windows port of the program used by Yasumasa Kanada in 1995 to compute pi to 232 digits.
Significance
Super PI is popular in the overclocking community, both as a benchmark to test the performance of these systems12 and as a stress test to check that they are still functioning correctly.3
Credibility concerns
The competitive nature of achieving the best Super PI calculation times led to fraudulent Super PI results, reporting calculation times faster than normal. Attempts to counter the fraudulent results resulted in a modified version of Super PI, with a checksum to validate the results. However, other methods exist of producing inaccurate or fake time results, raising questions about the program's future as an overclocking benchmark.
Super PI utilizes x87 floating point instructions which are supported on all x86 and x86-64 processors, current versions which also support the lower precision Streaming SIMD Extensions vector instructions.
External links
- "Kanada Laboratory". Archived from the original on Mar 24, 2019. Formerly with link to ftp site with version of the program for different operating systems.
- "Single-threaded Computer Benchmark | SuperPI". Super Pi. Archived from the original on 2023-12-11. Retrieved 2019-12-22. wPrime Systems version.
References
Maekinen, Sami (2006), CPU & GPU Overclocking Guide (PDF), ATI Technologies Inc. http://digidownload.libero.it/ing.tripodina/Overclocking_Guide_CrossFire_Xpress3200.pdf ↩
Martinović, G.; Balen, J.; Rimac-Drlje, S. (2010), "Impact of the host operating systems on virtual machine performance", 2010 Proceedings of the 33rd International Convention MIPRO, IEEE, pp. 613–618. https://ieeexplore.ieee.org/document/5533473 ↩
Sanchez, Ernesto; Squillero, Giovanni; Tonda, Alberto (2011), "Evolutionary Failing-test Generation for Modern Microprocessors" (PDF), Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO '11), New York, NY, USA: ACM, pp. 225–226, doi:10.1145/2001858.2001985, ISBN 978-1-4503-0690-4, S2CID 17401803. 978-1-4503-0690-4 ↩