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Old 2016-09-01, 20:41   #2520
MatWur-S530113
 
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Quote:
Originally Posted by ET_ View Post
Anybody tested mfaktc for the 980? smile:
Yes.
5 weeks ago I reseted my old GTX760 with a GTX980.
After getting GPU-ECM to work I made a (successful) doublecheck with CudaLucas (v2.05)
and now I'm running tf-work (up to 75 bit) for GPUto72 with mfactc (v0.21).
No problems until now.

Matthias
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Old 2016-09-03, 01:47   #2521
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Woohoo! Found the reference. See owftheevil's post. The GTX 460 is CC 2.1.
Quote:
Originally Posted by kladner View Post
I recently tried again to find settings that would work on my MSI 580.

Meanwhile, the faithful Gigabyte 460 is OC to 833 MHz core, RAM clocked down to 1700. It has churned out a 40.9M DC every 3.5 days for weeks, with perhaps one mismatch, which I haven't checked back on. It never does the timeout thing. Is that only 580s?
Quote:
Originally Posted by owftheevil View Post
Here's what I know about the bug.

It hangs during a cufft call.
It is specific to compute 2.0 cards.
It is most likely not a problem with cufft:
cuftt4.2 with Nvidia driver 295.?? works
cufft4.2 with >30?.?? drivers show the bug


In Linux, we can recover by resetting the device inside CUDALucas.


In Windows, the devices are deactivated after the timeout
so instead of continuing merrily on our way, we get that
memory allocation error you are seeing. CUDALucas needs
to be restarted to continue.

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Old 2016-09-05, 10:02   #2522
ET_
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Quote:
Originally Posted by MatWur-S530113 View Post
Yes.
5 weeks ago I reseted my old GTX760 with a GTX980.
After getting GPU-ECM to work I made a (successful) doublecheck with CudaLucas (v2.05)
and now I'm running tf-work (up to 75 bit) for GPUto72 with mfactc (v0.21).
No problems until now.

Matthias
So we are no more stuck to CUDA 6.5
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Old 2016-09-07, 12:58   #2523
MatWur-S530113
 
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Quote:
Originally Posted by ET_ View Post
So we are no more stuck to CUDA 6.5
I'm not absolutely sure. As I said, I reset the Hardware, not the Software.
In my CudaLucas folder 3 dll's are stored:
cudart32_42_9.dll
cudart64_42_9.dll and
cudart64_55.dll
and the 3 correspondending cufft*.dll's
I *think* that cudart64_55.dll is used and it works good.
I attache the benchmarks for the 980 and my old 760 (final)
Attached Files
File Type: txt benchmark_test_GTX980.txt (33.6 KB, 98 views)
File Type: txt benchmark_final.txt (16.7 KB, 58 views)
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Old 2016-09-07, 16:00   #2524
henryzz
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Quote:
Originally Posted by MatWur-S530113 View Post
I'm not absolutely sure. As I said, I reset the Hardware, not the Software.
In my CudaLucas folder 3 dll's are stored:
cudart32_42_9.dll
cudart64_42_9.dll and
cudart64_55.dll
and the 3 correspondending cufft*.dll's
I *think* that cudart64_55.dll is used and it works good.
I attache the benchmarks for the 980 and my old 760 (final)
What version are your drivers?
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Old 2016-09-07, 18:15   #2525
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Quote:
Originally Posted by henryzz View Post
What version are your drivers?
GPU-Z reports
10.18.13.6881 WHQL (ForceWare 368.81) / Win10 64

The device-manager shows ~ 25 dll's used by the GC...
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Old 2016-09-07, 18:38   #2526
henryzz
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Quote:
Originally Posted by MatWur-S530113 View Post
GPU-Z reports
10.18.13.6881 WHQL (ForceWare 368.81) / Win10 64

The device-manager shows ~ 25 dll's used by the GC...
Recent enough to support Pascal then.
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Old 2016-09-30, 19:59   #2527
ATH
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I have compiled CUDALucas with CUDA8. I'm not sure if there is any point to CUDA8 for me when I have a Titan Black with compute capabilities 3.5.

In the makefile I should use:
SMCODE += --generate-code arch=compute_35,code=sm_35

even though CUDA8 supports up to compute capabilities 6.1, right?
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Old 2016-09-30, 22:36   #2528
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Quote:
Originally Posted by ATH View Post
I have compiled CUDALucas with CUDA8. I'm not sure if there is any point to CUDA8 for me when I have a Titan Black with compute capabilities 3.5
The compute capability is a property of the GPU architecture. If it only has 3.5, then it doesn't matter if the software itself is capable of working with other GPUs that have higher compute capability numbers.
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Old 2016-10-01, 03:56   #2529
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I compiled it and it seemed to run a lot faster but alas it does not work. It fails the selftests and the error variable stays at 0.0000.

Anyone can compile a CUDA8 version? I'm just curious.
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Old 2016-10-01, 05:07   #2530
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According to my experience compiling Titan Blacks, you have to scale back to Cuda 5.5 or even 5.0 in order for a sucessful compile with non zero errors. Not sure about Cuda 6.xx/7xx.
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