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Message boards : Number crunching : gtx 1060 3gb runtimes

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Profile sir sant
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321 LLR Gold: Earned 500,000 credits (707,443)Cullen LLR Gold: Earned 500,000 credits (516,214)ESP LLR Gold: Earned 500,000 credits (702,908)Generalized Cullen/Woodall LLR Silver: Earned 100,000 credits (114,788)PPS LLR Ruby: Earned 2,000,000 credits (2,684,540)PSP LLR Silver: Earned 100,000 credits (211,016)SoB LLR Gold: Earned 500,000 credits (629,206)SR5 LLR Gold: Earned 500,000 credits (547,283)SGS LLR Amethyst: Earned 1,000,000 credits (1,933,158)TRP LLR Amethyst: Earned 1,000,000 credits (1,029,655)Woodall LLR Gold: Earned 500,000 credits (626,458)321 Sieve Turquoise: Earned 5,000,000 credits (6,048,831)Cullen/Woodall Sieve (suspended) Sapphire: Earned 20,000,000 credits (27,314,895)Generalized Cullen/Woodall Sieve (suspended) Jade: Earned 10,000,000 credits (10,392,000)PPS Sieve Double Gold: Earned 500,000,000 credits (835,344,509)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Ruby: Earned 2,000,000 credits (2,596,403)TRP Sieve (suspended) Ruby: Earned 2,000,000 credits (2,623,417)AP 26/27 Jade: Earned 10,000,000 credits (16,960,385)GFN Emerald: Earned 50,000,000 credits (69,574,965)
Message 100573 - Posted: 4 Nov 2016 | 20:08:02 UTC

So, the last new nvidia card i bought was an asus 3slot gtx570 way back, and now i have bought an asus dual fan 2slot gtx 1060 3gb one.
So i installed it today and immediately started to run pps sieve on it.

Wu takes about 620 seconds. Gtx 570 ran it for about 950 seconds.
But it is 240w tdp vs 120w tdp, so its about 3 times more efficient in work done per watt used in pps sieve.

The thing that is odd, is that the gtx 570 load in gpu-z is a constant 99%
but for the gtx 1060 the gpu-z load hovers between 60-90%.
Why is that? Is that normal?

Running on win7 pro 64bit\phenom II hexa\16gb ddr3\ nvidia driver 373.06.
Host: http://www.primegrid.com/results.php?hostid=506785

Now waiting for the AP27 to finish, that i was not able to run on my trusted gtx570.

I am curious to know how the 1060 performs, so thouse of you running on them, i'd appreciate any feedback, and any tips.

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Discovered the World's First base 116 Generalized Cullen prime!!!Discovered 26 mega primesEliminated 7 conjecture "k"sDiscovered 1 Sophie Germain pairDiscovered 2 Fermat divisors2012 Tour de Primes highest prime count2012 Tour de Primes most Mountain Stage primes2015 Tour de Primes highest prime count2016 Tour de Primes highest prime countFound 23 primes in the 2018 Tour de PrimesFound 1 mega prime in the 2018 Tour de PrimesFound 2 primes in the 2018 Tour de Primes Mountain Stage2019 Tour de Primes highest prime countFound 22 primes in the 2019 Tour de Primes2020 Tour de Primes highest prime scoreFound 21 primes in the 2020 Tour de PrimesFound 4 mega primes in the 2020 Tour de Primes321 LLR Double Bronze: Earned 100,000,000 credits (183,750,610)Cullen LLR Double Bronze: Earned 100,000,000 credits (103,870,990)ESP LLR Double Silver: Earned 200,000,000 credits (203,249,784)Generalized Cullen/Woodall LLR Double Bronze: Earned 100,000,000 credits (109,580,172)PPS LLR Double Gold: Earned 500,000,000 credits (639,556,045)PSP LLR Double Bronze: Earned 100,000,000 credits (126,982,721)SoB LLR Double Bronze: Earned 100,000,000 credits (135,747,083)SR5 LLR Double Silver: Earned 200,000,000 credits (214,194,272)SGS LLR Double Silver: Earned 200,000,000 credits (200,483,433)TPS LLR (retired) Silver: Earned 100,000 credits (235,439)TRP LLR Double Silver: Earned 200,000,000 credits (201,215,056)Woodall LLR Double Bronze: Earned 100,000,000 credits (101,447,725)321 Sieve Double Silver: Earned 200,000,000 credits (235,451,253)Cullen/Woodall Sieve (suspended) Emerald: Earned 50,000,000 credits (83,794,448)Generalized Cullen/Woodall Sieve (suspended) Double Silver: Earned 200,000,000 credits (285,139,652)PPS Sieve Double Ruby: Earned 2,000,000,000 credits (2,663,438,093)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Double Silver: Earned 200,000,000 credits (203,523,358)TRP Sieve (suspended) Double Silver: Earned 200,000,000 credits (201,489,157)AP 26/27 Double Silver: Earned 200,000,000 credits (373,919,390)GFN Double Amethyst: Earned 1,000,000,000 credits (1,878,138,496)PSA Double Silver: Earned 200,000,000 credits (259,058,048)
Message 100574 - Posted: 4 Nov 2016 | 20:20:36 UTC - in response to Message 100573.


I have the 6GB variety. Around 500 sec on GFN17- low. 2000-2500 sec on AP27. Performance differential compared to Fermi cards is much greater on GFN and AP27 generally since those are OCL apps vs. PPS sieve which is a CUDA app.

Your 3GB variety will be just a bit slower than mine since it has slightly fewer shaders.


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Message 100575 - Posted: 4 Nov 2016 | 20:36:47 UTC

I also have the 6GB variety and my run times are much like Scott's for AP27. Usually in the 2300-2400 second range.
It's been a long while since I've done any GFN on it so I don't remember my run times.
I have yet to run any PPS sieve on it as I have been working on getting AP27 and GFN badges to match my PPS sieve badge.

Funny you mention about the GPU load being a little low with the Phenom II X6 system. I currently have a spare parts system running with a GTX 760 and an Athlon II 635 (same socket and generation as your Phenom II X6) and the GTX760 only runs at about 85% load with AP27 where my GTX1060 6GB with my i7-4790 is always around 99% load.
I thought maybe that the power supply being both weak and old might have been the cause, but maybe these older AMD CPU's can't keep the GPUs fed properly. I'm tempted to swap the 1060 and the 760 around to see what happens, but that's a lot of work. haha
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Message 100576 - Posted: 4 Nov 2016 | 20:49:18 UTC - in response to Message 100573.

I got an EVGA SC Gaming 1060 3GB a little while back, the single fan version.

I ran a couple of units through (back then) to get some times:

AP27 2509-2516
GFN18 1567
GFN19 5605
PPS-Sieve 602

I had a place where only a short card would fit, and was very pleasantly surprised by its performance.

Even with the single fan, it is the coolest-running of my gpus.

http://www.primegrid.com/results.php?hostid=497081

I'm not sure about why the load runs low, although I have seen it on my machines, and if I run PPS-Sieve on nVidia GPUs, I tend to run 2 tasks at once to keep them pegged. If running 2 concurrent tasks has them finish in less than double the time of a single, there are some throughput gains to be had. I never tried that on this particular card, though. It was so good, comparatively speaking, at AP27 I just left it there.

You may also want to run something like Afterburner, so you can see if it is hitting any limits, like a power limit.

All that being said, the 1060 seems to be a great card for price, power, and performance (there's a reason nVidia disabled SLI on them).

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Message 100587 - Posted: 5 Nov 2016 | 11:31:09 UTC - in response to Message 100573.

So, the last new nvidia card i bought was an asus 3slot gtx570 way back, and now i have bought an asus dual fan 2slot gtx 1060 3gb one.
So i installed it today and immediately started to run pps sieve on it.

Wu takes about 620 seconds. Gtx 570 ran it for about 950 seconds.
But it is 240w tdp vs 120w tdp, so its about 3 times more efficient in work done per watt used in pps sieve.

The thing that is odd, is that the gtx 570 load in gpu-z is a constant 99%
but for the gtx 1060 the gpu-z load hovers between 60-90%.
Why is that? Is that normal?

Running on win7 pro 64bit\phenom II hexa\16gb ddr3\ nvidia driver 373.06.
Host: http://www.primegrid.com/results.php?hostid=506785

Now waiting for the AP27 to finish, that i was not able to run on my trusted gtx570.

I am curious to know how the 1060 performs, so thouse of you running on them, i'd appreciate any feedback, and any tips.


I would try running 2 units at once then and see how the times compare, are you getting 2 units done in less than twice the time than running one at a time takes now? If so then you can do twice the work faster doing the PPS Sieve units. Each kind of unit though will need to be tested to see if they work the same way. Be sure to give it a cpu core until you test to show that it doesn't need one.

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Message 100605 - Posted: 5 Nov 2016 | 20:57:38 UTC

Thanx for the feedback people, i now know things that i did not know before.

Mikey, how do i run two wu-s on a gpu? And how do i dedicate a core?
I'm not that good with software.

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Message 100621 - Posted: 6 Nov 2016 | 11:16:53 UTC - in response to Message 100605.

Thanx for the feedback people, i now know things that i did not know before.

Mikey, how do i run two wu-s on a gpu? And how do i dedicate a core?
I'm not that good with software.


As for dedicating a core you go into the Boinc Manager,down by the clock and double click the Boinc icon to open it, then click on Options then Computing Preferences, then on the Computing tab the top box says "use at most [ ] % of the cpu cores". Change it to 99 and it will use one less core than you have in the pc, reserving one core for whatever else the pc wants to do, ie gpu crunching in this case. Or even cruising the internet if you want to do that. That means though that one cpu core will NOT be available for any type of cpu crunching, which can be a good thing as now the gpu is not fighting for time to keep itself fed and working optimally.

As for running more than one gpu unit at a time that involved setting up an 'app_info.xml' file that tell the gpu to run more than one unit at a time. These can be complicated or easy but the basic lines you need are:

<app_info>
<app>
<name>milkyway</name>
</app>
<file_info>
<name>milkyway_separation_1.02_windows_x86_64__opencl_amd_ati.exe</name>
<executable/>
</file_info>
<app_version>
<app_name>milkyway</app_name>

<coproc>
<type>ATI</type>
<count>0.5</count>
</coproc>

</app_version>
</app_info>

You will have to change the file info name info though as that is an older version and I don't know what the current one is. Save this file as an app_info.xml file in NOTEPAD and save it as a txt type file. Make sure the file ends in xml NOT txt after you save it. Then copy and past the file into c:\program files\Boinc\projects\milkyway.cs.rpi.edu_milkyway That way ONLY Milkyway will run 2 units at once not EVERY Boinc project that uses your gpu.

To run 3 workunits at a time change the 0.5 to 0.33, to run 4 workunits at a time use 0.25. GO SLOW though and log your results as you go, there IS a breakover point where it takes longer to run the units than running fewer of them at a time. At that point you have overloaded your gpu and it is not running efficiently. You are looking for max efficiency, not overloading your gpu.

ps I'm not positive you even need the app version part, but you may so I left it in there. I have not run more than one unit at MW in a very long time so have forgotten some of this.

River~~
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321 LLR Silver: Earned 100,000 credits (124,889)Cullen LLR Silver: Earned 100,000 credits (200,779)ESP LLR Silver: Earned 100,000 credits (112,791)Generalized Cullen/Woodall LLR Silver: Earned 100,000 credits (106,156)PPS LLR Amethyst: Earned 1,000,000 credits (1,358,025)PSP LLR Silver: Earned 100,000 credits (150,832)SoB LLR Gold: Earned 500,000 credits (573,744)SR5 LLR Gold: Earned 500,000 credits (500,731)SGS LLR Silver: Earned 100,000 credits (479,282)TRP LLR Silver: Earned 100,000 credits (328,373)Woodall LLR Silver: Earned 100,000 credits (119,260)Generalized Cullen/Woodall Sieve (suspended) Turquoise: Earned 5,000,000 credits (7,061,082)PPS Sieve Silver: Earned 100,000 credits (326,987)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Silver: Earned 100,000 credits (174,708)TRP Sieve (suspended) Gold: Earned 500,000 credits (505,558)AP 26/27 Gold: Earned 500,000 credits (598,364)GFN Ruby: Earned 2,000,000 credits (3,066,295)
Message 100818 - Posted: 11 Nov 2016 | 15:12:52 UTC - in response to Message 100621.
Last modified: 11 Nov 2016 | 15:15:48 UTC


As for dedicating a core
[...]
That means though that one cpu core will NOT be available for any type of cpu crunching, which can be a good thing as now the gpu is not fighting for time to keep itself fed and working optimally.


it may or may not help.

There are two bottlenecks when feeding a GPU.

One is CPU usage to keep it programmed nicely. If that is hurting you then the "Use 99% of cpu for cpu tasks may help, but remember that on Linux at least, Boinc is programmed to assign a higher priority to serving the GPU (nice=5) than running CPU tasks (nice=10, higher is lower pri, ie nicer to other users). So this trick gains you the time taken to reassign the core, it does not save you the entire run time.

The second bottleneck is main memory or the PCIe bus. When large blocks of data are moved to the GPU they do this by direct memory access (DMA) -- effectively stealing memory cycles from the CPUs ONLY if one or more cache is concurrently being refreshed -- if the cache controller is happy then the DMA is completely free :)

Exactly what effect keeping some or all of your cores unused by Boinc is hard to predict - memory is several times slower than the CPU cores but equally if the cache contains enough of what they need next, the PCIe DMA is stealing unwanted memory cycles.

I will soon acquire a card like yours -- on loan :) -- but a single fan short card version. As yours runs cool I am hopeful that the cooling will not make mine throttle back (the sales people claim it throttles back instead of frying itself).

My intention is to run a whole number of CPU workunits, and see how many GPU wu it gets through. Do this when using ALL CPU cores, then reduce by one at a time and see if that increases the GPU count by more than one. If so keep going till you get past the sweet spot. Note you set the percent of active cores, so the numbers work inversely. With 4 threads (incl HT) anything from 75% to 99% means 3 active, 50% to 74% means 2, as it usually it rounds down, but note it never rounds away your last core so 1% to 49% means 1 core/thread active. 0% for Boinc means 100%.

You can also use 50% as a way to turn off HT for Boinc, leaving all those HT threads available for surfing, typing in LibreOffice, etc.

Having found the sweet spot using the standard one WU at a time in the GPU, only then tweak the GPU to run count=0.5 (ie two at a time).

If that is better try count=0.33 (three WU at a time in the GPU).

When you reach the sweet spot for GPU utilisation, you are not done yet: check out whether one more or one fewer CPU is better. Keep going till you find the doubly sweet spot where increasing or decreasing EITHER parameter makes it worse.

You can imagine the number of cores is latitude, you find the highest point going N and then S till you reach a peak along that line.

Then imagine the GPU utilisation is W<->E, step East till you find the highest point along that line of latitude (initially you need not go W as you are sure without measuring that zero concurrent GPU WU is worse than one!).

Then from that point check out if the number of CPUs is still right (try both N and S).

Then try W and E again.

Keep going till you find the place where N, S, E, W all make the total performance worse.

This scheme works for optimising WU/hour, or WU/kWh and you may well find the two are different.

For measuring WU/kWh I use a plug in meter to measure kWh delivered from the wall socket, so it bundles up all the power supply, CPU, Motherboard, and GPU energy into a single figure, as that is what I end up paying for.

hope that helps

In a challenge, the WU/hour is likely to be of interest. The rest of the time if you feel as unwealthy as myself, WU/kWh may be more relevant.

Then repeat for GPU count=0.33

And so on till you reach a combination of parameters where moving in any direction gives less performance (reducing number of CPUs makes it worse, increasing number of CPUs makes it worse, reducing number of GPU WU makes it worse, increasing number of GPU WU makes it worse. Then you know you are at the top of the hill.

It could be a while before I have a chance to publish the results, but I will do so. It is going into an ancient motherboard with DDR2 memory and a sluggish twin core CPU, so at the outset I expect my GPU to suffer more than yours with both bottlenecks. The absolute increment in performance will not be so good for me as for you.

But in proportion to my meager CPU-only set up, I anticipate "my" GPU giving me a greater proportional rise than if you ran CPU only.

R~~

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Credit: 15,792,075
RAC: 0
321 LLR Silver: Earned 100,000 credits (124,889)Cullen LLR Silver: Earned 100,000 credits (200,779)ESP LLR Silver: Earned 100,000 credits (112,791)Generalized Cullen/Woodall LLR Silver: Earned 100,000 credits (106,156)PPS LLR Amethyst: Earned 1,000,000 credits (1,358,025)PSP LLR Silver: Earned 100,000 credits (150,832)SoB LLR Gold: Earned 500,000 credits (573,744)SR5 LLR Gold: Earned 500,000 credits (500,731)SGS LLR Silver: Earned 100,000 credits (479,282)TRP LLR Silver: Earned 100,000 credits (328,373)Woodall LLR Silver: Earned 100,000 credits (119,260)Generalized Cullen/Woodall Sieve (suspended) Turquoise: Earned 5,000,000 credits (7,061,082)PPS Sieve Silver: Earned 100,000 credits (326,987)Sierpinski (ESP/PSP/SoB) Sieve (suspended) Silver: Earned 100,000 credits (174,708)TRP Sieve (suspended) Gold: Earned 500,000 credits (505,558)AP 26/27 Gold: Earned 500,000 credits (598,364)GFN Ruby: Earned 2,000,000 credits (3,066,295)
Message 100820 - Posted: 11 Nov 2016 | 15:18:32 UTC - in response to Message 100605.
Last modified: 11 Nov 2016 | 15:28:00 UTC

...how do i run two wu-s on a gpu? ...


Thanks for asking that questions, Sir Sant.

I had heard it is possible to tell the GPU to run more than one at a time, but never before had a GPU that it was worth trying, so never needed to know the HOW of it.

And thanks to Mikey for answering: between you, you have saved me some RTM time :)[/quote]

Message boards : Number crunching : gtx 1060 3gb runtimes

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