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#793 |
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Aug 2015
22·17 Posts |
Triple checks needed (Round-Off CuLu errors happened at 2048K FFT)
Code:
DoubleCheck=38750629,71,1 DoubleCheck=38673287,71,1 |
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#794 |
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Aug 2012
Mass., USA
2×3×53 Posts |
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#795 |
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(loop (#_fork))
Feb 2006
Cambridge, England
2×132×19 Posts |
Taken
Code:
51770489 15 4 2 1 2 1 DoubleCheck=51770489,73,1 51940249 15 4 2 1 2 1 DoubleCheck=51940249,73,1 52307537 5 2 6 1 6 1 DoubleCheck=52307537,73,1 53998279 5 2 6 1 6 1 DoubleCheck=53998279,73,1 |
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#796 |
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Einyen
Dec 2003
Denmark
C5516 Posts |
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#797 |
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"Kieren"
Jul 2011
In My Own Galaxy!
2·3·1,693 Posts |
For real, this time, mismatch on 37334837.
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#798 |
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Mar 2014
24×5 Posts |
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#799 |
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"Kieren"
Jul 2011
In My Own Galaxy!
100111101011102 Posts |
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#800 | |
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Einyen
Dec 2003
Denmark
7×11×41 Posts |
Quote:
It ran on my Titan Black with 2160K FFT. Max error was only 0.10742. |
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#801 | |
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"/X\(‘-‘)/X\"
Jan 2013
B7216 Posts |
Quote:
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#802 |
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"Kieren"
Jul 2011
In My Own Galaxy!
2×3×1,693 Posts |
Wow! Thanks to both of you.
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#803 |
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Serpentine Vermin Jar
Jul 2014
7·11·43 Posts |
In my ongoing quest to weed out bad systems (well, bad tests), I'm toying with another revision to my query.
Currently I filter the results based on: user, cpu, year, app-version I've noticed here and there that within a calendar year, a machine might go through cycles just like it does year-over-year, so I added in filtering by quarter to see how that would shake out. Here's an example of one machine for particular year (2009) and how it shakes out by quarter: Code:
CpuId Good Bad Sus Unk Solo Mis 2009-1 0 1 0 0 0 0 2009-2 5 0 1 0 0 1 2009-3 3 1 0 3 3 0 2009-4 0 6 0 1 1 0 ![]() Filtering by quarter means I may not bother filtering by the app version. That was just a way of doing kind of the same thing... some date during the year when they upgraded version as a way to break down the timeline into smaller chunks. There really isn't much difference in error rates from one version to the next. If I go much beyond quarterly breakdowns, there might not be much data to work with. That's only a 3 month period and many older systems just didn't do a lot in 3 months... it could be harder to spot longer term trends. But for now I think this will help bring in a few more "easy pickings". |
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