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post #11 of 21

Hmm, I guess on my 7950 core17 uses 9-10% CPU with my E5630.

 

post #12 of 21
I have per core usage from hwinfo64 and peak when pausing and starting back it reach 15%+ for me


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post #13 of 21
So, does this mean that if you are gpu folding with Nvidia, i
Quote:
Originally Posted by arvidab View Post

You've got core_17 units on your GPU's, which is coded in OpenCL. Older core_15 uses CUDA and is exclusive to Nvidia, _17 can be folded on AMD too.

Nvidia's implementation of the OpenCL drivers causes this behaviour, each core_17 will use a core/thread. Unfortunately there is nothing you can do, other than bug Nvidia to make their OpenCL drivers better, AMD uses next to nothing on the core_17's afaik.

You can't force to get older _15 as they are being phased out, you might get one if there is a shortage of _17's.

Just to reiterate, it is recommended that if we are folding with Nvidia cards, that we drop the number of threads the cpu is allowed to use by the number of gpus folding?
post #14 of 21
Yes, though it has been stated that some CPU units fail with odd numbers of threads. I personally haven't had any trouble running SMP 7, but you should be aware of potential problems.
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post #15 of 21
Quote:
Originally Posted by valvehead View Post

Yes, though it has been stated that some CPU units fail with odd numbers of threads. I personally haven't had any trouble running SMP 7, but you should be aware of potential problems.

I have my cpu set to 7 (of 8) as well right now, I will keep this in mind and play around a bit. the gpus definitely bring in more points, so anything that lets them run full tilt is definitely worth it
post #16 of 21
Quote:
Originally Posted by NimbleJack View Post

So, does this mean that if you are gpu folding with Nvidia, i
Quote:
Originally Posted by arvidab View Post

You've got core_17 units on your GPU's, which is coded in OpenCL. Older core_15 uses CUDA and is exclusive to Nvidia, _17 can be folded on AMD too.

Nvidia's implementation of the OpenCL drivers causes this behaviour, each core_17 will use a core/thread. Unfortunately there is nothing you can do, other than bug Nvidia to make their OpenCL drivers better, AMD uses next to nothing on the core_17's afaik.

You can't force to get older _15 as they are being phased out, you might get one if there is a shortage of _17's.

Just to reiterate, it is recommended that if we are folding with Nvidia cards, that we drop the number of threads the cpu is allowed to use by the number of gpus folding?

Yes, it's highly recommend that to drop one thread from the CPU while also folding a a Nvidia GPU (core_17). As you have noticed, the GPU will most likely be crippled if you're CPU is pegged with worked.

The odd-number of thread issue was actually a prime number issue, if my memory serves me right, and only 7 and above. 9 should therefore have been fine as well as 15, 5, 3 and 2. I'm talking past tense here as I don't know how things are with the newer software and WU's. I remember back when I joined (2010-2011) there was quite a bit of talk about that.

7 threads will most likely be fine. 6 might be even better if you use the computer, letting the FAH-core do its stuff more uninterrupted.
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post #17 of 21
Quote:
Originally Posted by arvidab View Post

Warning: Spoiler! (Click to show)
Quote:
Originally Posted by NimbleJack View Post

So, does this mean that if you are gpu folding with Nvidia, i
Quote:
Originally Posted by arvidab View Post

You've got core_17 units on your GPU's, which is coded in OpenCL. Older core_15 uses CUDA and is exclusive to Nvidia, _17 can be folded on AMD too.

Nvidia's implementation of the OpenCL drivers causes this behaviour, each core_17 will use a core/thread. Unfortunately there is nothing you can do, other than bug Nvidia to make their OpenCL drivers better, AMD uses next to nothing on the core_17's afaik.

You can't force to get older _15 as they are being phased out, you might get one if there is a shortage of _17's.

Just to reiterate, it is recommended that if we are folding with Nvidia cards, that we drop the number of threads the cpu is allowed to use by the number of gpus folding?

Yes, it's highly recommend that to drop one thread from the CPU while also folding a a Nvidia GPU (core_17). As you have noticed, the GPU will most likely be crippled if you're CPU is pegged with worked.

The odd-number of thread issue was actually a prime number issue, if my memory serves me right, and only 7 and above. 9 should therefore have been fine as well as 15, 5, 3 and 2. I'm talking past tense here as I don't know how things are with the newer software and WU's. I remember back when I joined (2010-2011) there was quite a bit of talk about that.

7 threads will most likely be fine. 6 might be even better if you use the computer, letting the FAH-core do its stuff more uninterrupted.

So just to be 100% clear, If i have 4 Nvidia gpus folding core_17, and I have an 8 thread cpu, I should drop the slots on my cpu to 4.

Or is just having 1 slot free enough?
post #18 of 21
Quote:
Originally Posted by NimbleJack View Post

Quote:
Originally Posted by arvidab View Post

Warning: Spoiler! (Click to show)
Quote:
Originally Posted by NimbleJack View Post

So, does this mean that if you are gpu folding with Nvidia, i
Quote:
Originally Posted by arvidab View Post

You've got core_17 units on your GPU's, which is coded in OpenCL. Older core_15 uses CUDA and is exclusive to Nvidia, _17 can be folded on AMD too.

Nvidia's implementation of the OpenCL drivers causes this behaviour, each core_17 will use a core/thread. Unfortunately there is nothing you can do, other than bug Nvidia to make their OpenCL drivers better, AMD uses next to nothing on the core_17's afaik.

You can't force to get older _15 as they are being phased out, you might get one if there is a shortage of _17's.

Just to reiterate, it is recommended that if we are folding with Nvidia cards, that we drop the number of threads the cpu is allowed to use by the number of gpus folding?

Yes, it's highly recommend that to drop one thread from the CPU while also folding a a Nvidia GPU (core_17). As you have noticed, the GPU will most likely be crippled if you're CPU is pegged with worked.

The odd-number of thread issue was actually a prime number issue, if my memory serves me right, and only 7 and above. 9 should therefore have been fine as well as 15, 5, 3 and 2. I'm talking past tense here as I don't know how things are with the newer software and WU's. I remember back when I joined (2010-2011) there was quite a bit of talk about that.

7 threads will most likely be fine. 6 might be even better if you use the computer, letting the FAH-core do its stuff more uninterrupted.

So just to be 100% clear, If i have 4 Nvidia gpus folding core_17, and I have an 8 thread cpu, I should drop the slots on my cpu to 4.

Or is just having 1 slot free enough?

No, yea. One CPU thread per GPU should be freed. With four in one box though, I'd probably just let the GPU's do the work. Which GPU is it?
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post #19 of 21
Quote:
Originally Posted by arvidab View Post

Warning: Spoiler! (Click to show)
Quote:
Originally Posted by NimbleJack View Post

Quote:
Originally Posted by arvidab View Post

Warning: Spoiler! (Click to show)
Quote:
Originally Posted by NimbleJack View Post

So, does this mean that if you are gpu folding with Nvidia, i
Quote:
Originally Posted by arvidab View Post

You've got core_17 units on your GPU's, which is coded in OpenCL. Older core_15 uses CUDA and is exclusive to Nvidia, _17 can be folded on AMD too.

Nvidia's implementation of the OpenCL drivers causes this behaviour, each core_17 will use a core/thread. Unfortunately there is nothing you can do, other than bug Nvidia to make their OpenCL drivers better, AMD uses next to nothing on the core_17's afaik.

You can't force to get older _15 as they are being phased out, you might get one if there is a shortage of _17's.

Just to reiterate, it is recommended that if we are folding with Nvidia cards, that we drop the number of threads the cpu is allowed to use by the number of gpus folding?

Yes, it's highly recommend that to drop one thread from the CPU while also folding a a Nvidia GPU (core_17). As you have noticed, the GPU will most likely be crippled if you're CPU is pegged with worked.

The odd-number of thread issue was actually a prime number issue, if my memory serves me right, and only 7 and above. 9 should therefore have been fine as well as 15, 5, 3 and 2. I'm talking past tense here as I don't know how things are with the newer software and WU's. I remember back when I joined (2010-2011) there was quite a bit of talk about that.

7 threads will most likely be fine. 6 might be even better if you use the computer, letting the FAH-core do its stuff more uninterrupted.

So just to be 100% clear, If i have 4 Nvidia gpus folding core_17, and I have an 8 thread cpu, I should drop the slots on my cpu to 4.

Or is just having 1 slot free enough?

No, yea. One CPU thread per GPU should be freed. With four in one box though, I'd probably just let the GPU's do the work. Which GPU is it?

Edit: I just noticed that all gpus are folding core15, so please ignore the end of this post, but an answer would be nice just so when the time comes when all core15 WUs are completed

I am playing with two 690s, currently folding on only one gpu per card to keep the temps down, they are mated with a 3770

In this scenario i should keep two slots free at all times, correct?

When does the cpu usage of the core17 projects come into play?

At the end of the work unit or intermittently throughout the folding of the unit? The reason I ask is because I was doing some watt load tests and was monitoring the actual load of all of my hardware (gpu and cpu monitoring gadgets) and never noticed a blip on any of the components at any time while folding. This is with all 4 gpus running, and the cpu at 7/8 threads folding.

If the Gpus were call on the cpu for some help, then wouldn't I notice a dip in the actual load on the gpus while the cpu was processing whatever it was asked to do? Especially with the number of threads left at 7/8, if the gpus required the cpu to do some work, I should be able to see the gpus reduce the amount of work they are doing while waiting for the cpu. Correct?

If the gpu monitor gadget is not sensative enough to notice these blips, would gpu-z? I have left gpu-z open now and started a log file, but after watching that program as well I can not see anything either.
post #20 of 21
Quote:
Originally Posted by NimbleJack View Post


Edit: I just noticed that all gpus are folding core15, so please ignore the end of this post, but an answer would be nice just so when the time comes when all core15 WUs are completed

I am playing with two 690s, currently folding on only one gpu per card to keep the temps down, they are mated with a 3770

In this scenario i should keep two slots free at all times, correct?

When does the cpu usage of the core17 projects come into play?

At the end of the work unit or intermittently throughout the folding of the unit? The reason I ask is because I was doing some watt load tests and was monitoring the actual load of all of my hardware (gpu and cpu monitoring gadgets) and never noticed a blip on any of the components at any time while folding. This is with all 4 gpus running, and the cpu at 7/8 threads folding.

If the Gpus were call on the cpu for some help, then wouldn't I notice a dip in the actual load on the gpus while the cpu was processing whatever it was asked to do? Especially with the number of threads left at 7/8, if the gpus required the cpu to do some work, I should be able to see the gpus reduce the amount of work they are doing while waiting for the cpu. Correct?

If the gpu monitor gadget is not sensative enough to notice these blips, would gpu-z? I have left gpu-z open now and started a log file, but after watching that program as well I can not see anything either.


You are correct, keep two threads free on your CPU.

 

The CPU usage comes from NV's OpenCL implementation, so whenever you get a core 17 WU you should expect to see one CPU thread reserved per fahcore.

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