Furthermore, it gets harder to survive a potential hardware outage or failure as the computation goes on.įor our π calculation, we decided to go to the cloud. In layman’s terms, this means that the time and resources necessary to calculate digits increase more rapidly than the digits themselves. However, the complexity of Chudnovky's formula-a common algorithm for computing π-is O( n (log n) 3). In fact, the race to calculate more π digits has only accelerated as of late, with computer scientists using it as a way to test supercomputers, and mathematicians to compete against one another. Granted, most scientific applications don’t need π beyond a few hundred digits, but that isn’t stopping anyone starting in 2009, engineers have used customized personal computers to calculate trillions of digits of π. You can read more details of this record from y-cruncher's perspective in Yee’s report. Yee independently verified the calculation using Bellard's formula and BBP formula. 31.4 trillion digits is almost 9 trillion digits more than the previous world record set in November 2016 by Peter Trueb. Yee, using a Google Compute Engine virtual machine cluster. We achieved this feat using y-cruncher, a Pi-benchmark program developed by Alexander J.
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