Most efficient, Most productive and cheapest gpu?

Tom M
Tom M
Joined: 2 Feb 06
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Can someone explain the

Can someone explain the highly variable results on the Radeon VII gpu(s)?

In the Leader board list I see Pulsar#1 tasks running as low as 6 minutes and as high as 20 minutes.

I am also getting 20 minute results from my Rx 560's when I run them with 0.9 cpu and 1 gpu.

So am I seeing that much difference between Linux/Windows?  Or that much difference between air cooled and water cooled?

Thanks.

Tom M

 

A Proud member of the O.F.A.  (Old Farts Association).  Be well, do good work, and keep in touch.® (Garrison Keillor)

Richie
Richie
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Some users may use some sort

Some users may be running their GPUs under some sort of power limiting. I's difficult to compare run times unless conditions are known.

Ian&Steve C.
Ian&Steve C.
Joined: 19 Jan 20
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Richie wrote: Some users may

Richie wrote:

Some users may be running their GPUs under some sort of power limiting. I's difficult to compare run times unless conditions are known.

also running multiple tasks per card. Making runtimes appear longer than baseline. 
 

id day if you see one card running 6min/task and another card doing 20/task, the latter is probably doing 3-4x tasks per GPU. 

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TBar
TBar
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This one is running One task

This one is running One task at a time, it should give you a clue about the others that are showing less than twice as long, https://einsteinathome.org/host/12780933/tasks/0/0?page=273

My 570 is taking less than 20 minutes to run Two tasks at a time, the NV 2070s take about 10.5 minutes to run One task at a time, or, over 20 minutes for two at a time.

Ian&Steve C.
Ian&Steve C.
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The R7 is a beast. Just over

The R7 is a beast. Just over 3mins per task is great. Einstein’s current OpenCL apps definitely give an edge to AMD cards. Not sure if the apps here are more sensitive to memory bandwidth or DP performance, hard to say since the R7 excels in both of those areas. 

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Tom M
Tom M
Joined: 2 Feb 06
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TBar wrote:This one is

TBar wrote:

This one is running One task at a time, it should give you a clue about the others that are showing less than twice as long, https://einsteinathome.org/host/12780933/tasks/0/0?page=273

My 570 is taking less than 20 minutes to run Two tasks at a time, the NV 2070s take about 10.5 minutes to run One task at a time, or, over 20 minutes for two at a time.

I just got two Rx 570's online and and they are munching around 9.5 minutes per Pulsar#1 task (I think).

https://einsteinathome.org/host/12830231

Tom M

 

A Proud member of the O.F.A.  (Old Farts Association).  Be well, do good work, and keep in touch.® (Garrison Keillor)

Stephen "Heretic"
Stephen "Heretic"
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Hi Tom    . . Less than

Hi Tom

 

 . . Less than 10 mins per task is impressive. My GTX1060-6GB cards are taking just under 19 mins so are only half as fast with the OpenCl app. But AMD have been quicker than Nvidia under OpenCl for quite a while. But I have NV cards in all 5 rigs yet they are running different versions of the app.  Does anyone know why E@H picks the nvidia-1k version of V1.20 for some cards and V1.22 for others?

 

Stephen

 

Keith Myers
Keith Myers
Joined: 11 Feb 11
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Until they created the

Until they created the nvidia-TV application, all work bombed out on Turing-Volta cards, hence the two applications available, the older nvidia-1K for Pascal and earlier and the TV for Turing and newer.

 

Stephen "Heretic"
Stephen "Heretic"
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   . . Thanks Keith,  .

 

 . . Thanks Keith,

 . . But that is what surprises me.  All my cards are Pascal or older yet the 1050 is running V1.22 while the others are all running the V1.20-1K version. Yet it only has 2Gb ram while most of the others are 4GB or better.  I am puzzled.

 

Stephen

? ?

Keith Myers
Keith Myers
Joined: 11 Feb 11
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There might be other

There might be other selection criteria that the scheduler uses other than CC rating.  That is what was bombing out the nvidia-1k application when the Volta and Turing cards came out with their CC = 7.5 rating.  It didn't know how to handle that new value.

Could be the limited memory is the next criteria that the scheduler uses.  No way of knowing since the scientists never post here about how things work.  We can can only guess by observation.

 

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