So I had to do all the reverse engineering myself to figure out enough of architecture to where I could optimize for it. Being pre-release meant that all the usual optimization and architectural resources that I usually rely on do not exist yet. Overall, this was a very fun project which I enjoyed. Thus you do not need to redo your benchmarks for competing processors if they are already done with v0.7.9. So Zen4 benchmarks on v0.7.10 can be directly compared with those of other processors using y-cruncher v0.7.9. Fortunately, the performance of the other binaries remain unchanged in v0.7.10. The existing Intel-optimized AVX512 binaries for Skylake and Tiger Lake do not run optimally on Zen4, so you will need the new binary. If you are a hardware reviewer who uses y-cruncher as one of your benchmarks, you will need to grab this latest version of y-cruncher to get the best results on Zen4. If you happen to have access to a Zen4 system, feel free to try out this new release. Since most information about Zen4 is still under embargo, I cannot say anything about it at this time. And using that, I'm able to produce a Zen4-optimized binary - well ahead of launch and in time for the hardware reviewers to pick up. You know what that means - a new y-cruncher binary for it!ĪMD has graciously provided me a pre-release sample of their Ryzen 9 7950X. Zen4 is set to be AMD's first processor to support AVX512. So if you're a SIMD programmer or just curious about architecture in general, this might be worth a read. Now that the embargos have lifted, I have published my breakdown of Zen4's AVX512 over on Mersenneforum. 5 trillion digits - August 2010 (Shigeru Kondo).10 trillion digits - October 2011 (Shigeru Kondo).12.1 trillion digits - December 2013 (Shigeru Kondo).13.3 trillion digits - October 2014 (Sandon Van Ness "houkouonchi").22.4 trillion digits - November 2016 (Peter Trueb).31.4 trillion digits - January 2019 (Emma Haruka Iwao).50 trillion digits - January 2020 (Timothy Mullican).62.8 trillion digits - August 2021 (UAS Grisons).100 trillion digits - June 2022 (Emma Haruka Iwao).Y-cruncher has been used to set several world records for the most digits of Pi ever computed. Ever since its launch in 2009, it has become a common benchmarking and stress-testing application for overclockers and hardware enthusiasts. It is the first of its kind that is multi-threaded and scalable to multi-core systems. Y-cruncher is a program that can compute Pi and other constants to trillions of digits. The first scalable multi-threaded Pi-benchmark for multi-core systems. dot () print ( "Inside of quarter-circle:" ) print ( inside ) print ( "Total amount of points:" ) print ( np ) print ( "Pi is approximately:" ) print (( inside / np ) * 4.0 ) turtle. sqrt ( x ** 2 + y ** 2 ) if d <= length : inside += 1 turtle. uniform ( 0, length ) #determine distance from center d = math. circle ( length, - 90 ) inside = 0 for i in range ( 0, np ): #get dot position x = random. pendown () #draw quarter of circle turtle. speed ( "fastest" ) length = 300 # radius of circle and length of the square in pixels #draw y axis turtle. isdigit (): print ( "Insert number of points:" ) np = input () np = int ( np ) turtle. Import random import math import turtle print ( "Insert number of points:" ) np = input () while not np. However, it is a method that is easy to imagine and visualize (at the cost of even slower performance). You will have to wait quite long to get the same amount of digits of π as, for example, the Nilakantha series. The program can't just use the area directly because calculating the area of the quarter-circle would require π, which this program is supposed to determine.So, because of:Ī q u a r t e r c i r c l e A s q u a r e = 1 4 π r 2 r 2 = 1 4 π With a lot of points, dividing the amount of points inside the quarter-circle by the amount of points inside the square will be like dividing the area of the quarter-circle by the area of the square.The program will generate random points inside the square, and then check whether they are also inside the circle. Imagine a square with any length, and inside it a quarter of a circle with a radius that is same as that length.
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