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Old 2003-10-16, 11:53   #1
koekie's Avatar
Dec 2002
Amsterdam, Netherlands

22·19 Posts
Question Factoring performance on different clients

I have running several older machines (Pentium, PPro, P II, P III) running factoring and I was wondering what is the fastest client version for that kind of work. For some machines the benchmark of a version 22 client is better then the benchmark of a version 23 client, but the benchmark is only testing the FFT's and those are especially important for LL test's, or are they also used in factoring??

Sorry is this question is already anwsered elsewhere in this forum, I searched for it but could not find an answer.
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Old 2003-10-16, 14:35   #2
dsouza123's Avatar
Sep 2002

2×331 Posts

My understanding is Trial Factoring doesn't use FFTs, it eliminates most factors then does the powering algorithm using integer and floating point math.

Unfortunately there is no built in benchmark for trial factoring ( that I know of ).
One could be made, it could use some fixed mersenne number and a fixed number of iterations per screen output, say 1000, it would have to be run, result recorded then stopped with the bits factored for the mersenne upped in the worktodo.ini, this way the performance at 57,58...67 could be used.
There are various plateaus of efficiency at different bit depths -62, 63+64, 65+.
I guess maybe just 61,63,65 could be used, because 62 and below it doubles the time as bit depth increments ( by 1 ), same for 63 and 64, and again at 65 and above. ( This is only for non SSE2 CPUs which is what you were mentioning. )
The times are always very close to 2x the previous except at 62 to 63 and 64 to 65 where it is close to 4x.

The data could be a table like the benchmark page on or the informative graph guido72 made

from the Xyzzy's benchmark challenge thread

or even a small program that asks for some information, CPU and clock speed, and returns the top 3 versions.
If no exact match either say so and show the closest.

A table is probably more informative and you can use your own judgement rather than hoping the algorithm got it correct.
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