RTX 2080 Ti - Odd performance

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Message 1986475 - Posted: 22 Mar 2019, 3:08:53 UTC

Where are you getting your Nvidia drivers from. And what type of driver are you downloading. There are now two types of drivers apparently. Standard and DCH. And the description of DCH has me wondering now if that type is the type that has OpenCL components. Notice the wording of the description mentioning "Componentized" ? ? ?

I see the "DCH" selection is defined by the ? link as

"Standard" packages are those that do not require the DCH driver components.

"DCH" (Declarative, Componentized, Hardware Support Apps) refers to new packages preinstalled by OEMS implementing the Microsoft Universal Driver paradigm.

DCH drivers cannot be installed over a standard system, and Standard drivers cannot be installed over a DCH system.

To confirm the type of system you have, locate Driver Type under the System Information menu in the NVIDIA Control Panel.


So is the "DCH" package the one that someone needs to get the OpenCL component?
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Message 1986476 - Posted: 22 Mar 2019, 3:16:36 UTC

It seems this has been on ongoing problem lately with the Nvidia installer and automatic Windows Update. There have been many posts in the Nvidia and Windows Help forums. This post at TechPowerUp describes the problem and some solutions.

https://www.techpowerup.com/forums/threads/psa-nvidia-installer-cannot-continue-on-windows-october-2018-update-and-how-to-fix-it.250415/
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Message 1986483 - Posted: 22 Mar 2019, 3:40:42 UTC - in response to Message 1986475.  

NVIDIA's site. https://www.geforce.com/drivers

I even disconnect the LAN cable after DDU tool safe mode reboot/install so windows won't auto install the drivers upon bootup from their repository that are roughly 6 months out of date last time I looked at it.

I am running:
GeForce "Game Ready Driver" - WHQL 419.35 Release Mar 5, 2019 (Windows 64bit, Standard, All)
A "Creator Driver" was released yesterday 419.67 - shows 8% gains is Photoshop, and that's what this thing is built for. SETI is a side thing.
I'll wipe the 419.35GRD off this thing and load 419.67CD on and see how it goes. If that won't work, then maybe I'll have to rebuild Window$. Again. Linux on this thing isn't an option.

Maybe, 3rd party software could be an issue? Maybe Steam or the dozen video games I have installed has affected an opencl thing I have not repaired yet? Those love to load C++ runtime libraries and all sorts of goodies. Still scratching head on how if that's the case, then how could the GPU run LuxMark so well if OpenCL is the issue. All those are OpenCL and C++.

If I rebuild windows after driver doesn't work, then I'll not load anySteam/ videogames and see what happens.

Alternatively, I could scrounge up a few more parts and build a dedicated SETI box on Linux.
You have three 2080 cards on Linux at the moment yes?

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Message 1986485 - Posted: 22 Mar 2019, 3:42:20 UTC - in response to Message 1986475.  

I'm using the standard at the moment.

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Message 1986487 - Posted: 22 Mar 2019, 3:55:06 UTC - in response to Message 1986485.  

I've been digging through the Nvidia forums and it seems the registry entries for OpenCL are getting corrupted with the latest drivers. I'd say go for the Creators Edition drivers and see if anything changes. You are I think the fourth person this week complaining that SoG tasks are not being received or refuse to run with the latest drivers. Common element.

Yes, I have all my hosts on Linux since last year when the CUDA 9 apps appeared. I have three RTX 2080 cards now. The first was the EVGA RTX 2080 XC Hydro Copper for my custom loop rig and I added a EVGA RTX 2080 XC Hybrid card to two other hosts last month.
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Message 1986495 - Posted: 22 Mar 2019, 5:42:16 UTC - in response to Message 1986487.  
Last modified: 22 Mar 2019, 5:45:46 UTC

ITS WORKING!

(opencl_nvidia_SoG) tasks are running, completing and uploading with NVIDIA Creative Driver DCH v419.67

I didn't select any GPU AstroPulse WU. CPU on AVX.
<cmdline>-high_perf -hp -high_prec_timer</cmdline> <<<- Prob needs tweaking. GPU is 82-96% now. not 30% like is was under CUDA 50/42. Using up to 200W of power now. Temp, 43C. CPU temp is 45C all cores running.

Running (2CPUs + NVIDIA GPU) = running 2 cores (4 threads) and 1 GPU right?





Application
Local: setiathome_v8 8.20 (opencl_nvidia_SoG)
Name
blc31_2bit_guppi_58406_28965_HIP20350_0109.23073.409.21.44.31.vlar
State
Ready to report
Received
3/21/2019 11:14:26 PM
Report deadline
5/14/2019 4:14:06 AM
Resources
2 CPUs + 1 NVIDIA GPU
Estimated computation size
183,887 GFLOPs
CPU time
00:04:03
Elapsed time
00:04:10
Executable
MB8_win_x86_SSE3_OpenCL_NV_SoG_r3557.exe

    [/color][/color]



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    Message 1986497 - Posted: 22 Mar 2019, 5:51:24 UTC - in response to Message 1986495.  

    How many work units per GPU? 2? Should be 1 thread per work unit.
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    Message 1986499 - Posted: 22 Mar 2019, 5:55:55 UTC

    Interesting note....
    If the OpenCL drivers are installed they remain installed if one updates to the standard nVidia driver.
    Bob Smith
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    Message 1986500 - Posted: 22 Mar 2019, 6:00:10 UTC - in response to Message 1986499.  

    Good to know. Thanks

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    Message 1986501 - Posted: 22 Mar 2019, 6:04:19 UTC

    Much better performance. Tasks are completing in 1-4min.
    Current:


    After 30 or so WU averages and Max values


    Maybe run 1CPU 0.5GPU and see how she likes it.

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    Message 1986502 - Posted: 22 Mar 2019, 6:05:36 UTC - in response to Message 1986497.  

    Only one WU for the GPU at the moment. I'll be playing with that value shortly.

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    Message 1986504 - Posted: 22 Mar 2019, 6:18:30 UTC

    Now that you've got it running, you can make use of the command line values to improve performance.

    Putting something along these lines
    -tt 1500 -hp -period_iterations_num 1 -high_perf -high_prec_timer -sbs 2048 -spike_fft_thresh 4096 -tune 1 64 1 4 -oclfft_tune_gr 256 -oclfft_tune_lr 16 -oclfft_tune_wg 256 -oclfft_tune_ls 512 -oclfft_tune_bn 64 -oclfft_tune_cw 64

    in the
    mb_cmdline_win_x86_SSE3_OpenCL_NV_SoG.txt
    file in the
    C:\ProgramData\BOINC\projects\setiathome.berkeley.edu
    folder will improve performance considerably.

    No need to read configuration files, or exit & restart BOINC- once the file is saved, the next WU that starts will make use of those values.
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    Message 1986505 - Posted: 22 Mar 2019, 6:33:28 UTC - in response to Message 1986504.  

    That's done.

    Should I clear out the computecache as well?

    Much appreciate the help.

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    Message 1986508 - Posted: 22 Mar 2019, 6:37:36 UTC - in response to Message 1986505.  

    Should I clear out the computecache as well?

    Nope.
    Only needed if things aren't working. The next time a WU is processed, the cache gets re-filled with Data. If everything is good, then the data there is good & no need for it to be cleared out & re-filled.
    Grant
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    Message 1986509 - Posted: 22 Mar 2019, 6:43:07 UTC - in response to Message 1986508.  

    Sweet. :)

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    Message 1986585 - Posted: 22 Mar 2019, 16:16:57 UTC - in response to Message 1986495.  

    @CaptainHer0, so you moved from Standard drivers to the Creative DCH drivers to get the OpenCL component of the drivers installed? Did you do a DDU uninstall/clean of the Standard drivers beforehand?
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    Message 1986606 - Posted: 22 Mar 2019, 17:38:49 UTC - in response to Message 1986585.  

    Exactly.
    Put the driver on a thumb drive and disconnected the LAN just in case. Windows is set to 'not auto download and install', but I don't trust it. LOL
    I used DDU in safe mode. I also selected the option to delete the C:/NVIDIA folder. (DDU says "not reccomended")
    Restarted into normal mode.
    Then installed the drivers via USB. Rebooted. plugged LAN back in so I could login to GeForce experiance.

    I also wipes all traces of BOINC just to be sure and reinstalled it and Lunatics from scratch.

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    Message 1986610 - Posted: 22 Mar 2019, 17:59:11 UTC

    @CaptainHero , See you in the top 5% in a few weeks :D
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    Message 1986616 - Posted: 22 Mar 2019, 18:25:24 UTC

    Now that is more like it. With Grant's tuning line, that 2080 Ti is cranking out the tasks.
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    Message 1986623 - Posted: 22 Mar 2019, 19:15:27 UTC - in response to Message 1986616.  

    Yes Sir!
    Without everybody's help, I'd still be doing WU @ 18+min. Now doing them in 2:28 -3min. Slight increase in performance I would say over CUDA 50/42.
    What's the bump in performance going from windows SoG, to Linux and CUDA 9?? I think it was I read in the forums.

    Thanks everyone!

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