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Old 2016-10-20, 16:16   #1
storm5510
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My current video adapter is an nVidia GT-610. It has 48 Cuda cores. I just ordered a GTX-750 Ti. It has 640 Cuda cores. I will go out on a limb and say that this will make some difference in calculation speed. I've been running mfaktc. With the one I have now, a 72 to 73 factorization takes about 5.5 hours Comments anyone.
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Old 2016-10-20, 16:49   #2
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Quote:
Originally Posted by storm5510 View Post
My current video adapter is an nVidia GT-610. It has 48 Cuda cores. I just ordered a GTX-750 Ti. It has 640 Cuda cores. I will go out on a limb and say that this will make some difference in calculation speed. I've been running mfaktc. With the one I have now, a 72 to 73 factorization takes about 5.5 hours Comments anyone.
Probably, as long as mfaktc doesn't use FP64 math extensively.
The 750Ti is a Maxwell, and Nvidia cut back drastically on FP64 capabilities
of those boards.
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Old 2016-10-20, 17:51   #3
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Quote:
Originally Posted by tServo View Post
Probably, as long as mfaktc doesn't use FP64 math extensively.
The 750Ti is a Maxwell, and Nvidia cut back drastically on FP64 capabilities
of those boards.
As far as I understand, mfaktc makes little or no use of FP64. There is a different story with CUDALucas.
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Old 2016-10-20, 21:03   #4
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Quote:
Originally Posted by kladner View Post
As far as I understand, mfaktc makes little or no use of FP64. There is a different story with CUDALucas.
mfaktc uses a lot of 32x32 multiplies. IIRC, some (all?) nVidia use the FP64 unit to do these multiplies.
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Old 2016-10-21, 02:45   #5
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From http://www.mersenne.ca/mfaktc.php

GT-610 produces 29 GHz day/day consuming 29 W for an efficiency score of 1 GHzd/d/w

750 Ti - 139.7 GHd/d, 60W, 2.3GHzd/d/w

So, about 5x performance, and 2x power consumption

EDIT:- FWIW, the low end GPU sweetspot for mfaktc/o is probably Radeon RX 460

Last fiddled with by axn on 2016-10-21 at 02:47
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Old 2016-10-21, 03:47   #6
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My desktop is not new by any means so there is probably a limit as to what I can put in it. Replacing it has not been an option, as of yet. Perhaps soon. Thank you all for your replies.
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Old 2016-10-21, 04:02   #7
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Quote:
Originally Posted by Prime95 View Post
mfaktc uses a lot of 32x32 multiplies. IIRC, some (all?) nVidia use the FP64 unit to do these multiplies.
Thanks for the correction, George. I guess my comment was just an inference from TF work being less affected by the reduced FP capabilities of nVidia consumer cards above the 500 series.

Last fiddled with by kladner on 2016-10-21 at 04:03
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Old 2016-10-21, 16:58   #8
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Quote:
There is a different story with CUDALucas.
Speaking of CUDALucas, This is something I would like to try at some point. I've only seen references to a Mac build. Nothing for Windows yet.
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Old 2016-10-21, 17:15   #9
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Quote:
Originally Posted by Prime95 View Post
mfaktc uses a lot of 32x32 multiplies. IIRC, some (all?) nVidia use the FP64 unit to do these multiplies.
You mean 32 bit INTs, correct?
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Old 2016-10-21, 18:05   #10
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Quote:
Originally Posted by storm5510 View Post
Speaking of CUDALucas, This is something I would like to try at some point. I've only seen references to a Mac build. Nothing for Windows yet.
Here are the binaries for many different versions of CUDA:
http://mersenneforum.org/mfaktc/mfak...win.cuda80.zip

and here are the extra Wagstaff factoring binary and the Less Classes versions:
http://mersenneforum.org/mfaktc/mfak...a-versions.zip

You need to download the CUDA library files for the version you selected in the "CUDA Libs" directory here:
https://sourceforge.net/projects/cudalucas/files/
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Old 2016-10-21, 19:26   #11
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Quote:
Originally Posted by tServo View Post
You mean 32 bit INTs, correct?
Yes, 32-bit integer multiplies yielding either the high or low 32 bits of the result.
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