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biodoc

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Message 38085 - Posted: 26 Sep 2014, 12:24:04 UTC - in response to Message 38084.  

Good news that the app is working but disappointing performance.

Time to move the windows and (linux?) app to "non-beta"?


Disappointing compared to GK110? Or GK104 boards? GTX980 (64DP cores/4DPperSMM/1DPper32coreblock) is replacement for GTX680 (64DP/8DPperSMX), NOT 96DPcore GTX780 or 120DPcore GTX780ti. Titan(Black)250TDP have 896/960 DP cores (64DPperSMX)
Compared to GTX680, I'd say GTX980 is an excellent performer, other than Double Float.


I believe the GPUGrid app uses SP floating point calculations.

F@H also uses SP.
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Message 38086 - Posted: 26 Sep 2014, 12:59:37 UTC - in response to Message 38085.  
Last modified: 26 Sep 2014, 13:02:20 UTC

Good news that the app is working but disappointing performance.

Time to move the windows and (linux?) app to "non-beta"?

Disappointing compared to GK110? Or GK104 boards? GTX980 (64DP cores/4DPperSMM/1DPper32coreblock) is replacement for GTX680 (64DP/8DPperSMX), NOT 96DPcore GTX780 or 120DPcore GTX780ti. Titan(Black)250TDP have 896/960 DP cores (64DPperSMX)
Compared to GTX680, I'd say GTX980 is an excellent performer, other than Double Float.

I believe the GPUGrid app uses SP floating point calculations.

F@H also uses SP.

You're right about GPUGrid.
I'll swap my GTX670 and GTX980 and we'll see how's its performance in a PCIe3.0x16 slot.
I expect that a GTX980 should be faster than a GTX780Ti at least by 10%.
Maybe it won't be faster in the beginning, but in time the GPUGrid app could be refined for Maxwells. Besides different workunit batches will gain different performance (it could be even a loss of performance).
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Message 38087 - Posted: 26 Sep 2014, 13:09:14 UTC - in response to Message 38086.  
Last modified: 26 Sep 2014, 13:10:13 UTC

Good news that the app is working but disappointing performance.

Time to move the windows and (linux?) app to "non-beta"?

Disappointing compared to GK110? Or GK104 boards? GTX980 (64DP cores/4DPperSMM/1DPper32coreblock) is replacement for GTX680 (64DP/8DPperSMX), NOT 96DPcore GTX780 or 120DPcore GTX780ti. Titan(Black)250TDP have 896/960 DP cores (64DPperSMX)
Compared to GTX680, I'd say GTX980 is an excellent performer, other than Double Float.

I believe the GPUGrid app uses SP floating point calculations.

F@H also uses SP.

You're right about GPUGrid.
I'll swap my GTX670 and GTX980 and we'll see how's its performance in a PCIe3.0x16 slot.
I expect that a GTX980 should be faster than a GTX780Ti at least by 10%.
Maybe it won't be faster in the beginning, but in time the GPUGrid app could be refined for Maxwells. Besides different workunit batches will gain different performance (it could be even a loss of performance).


What do you think difference between PCIe2x16/PCIe3x16 is for GPUGRID, and similar programs? Also, do have idea how many of those "scalar" GM204 cores are cooking? Earlier in this thread-- You estimated 1920-2880 cores are being utilized for "superscalar" GK110.
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Message 38088 - Posted: 26 Sep 2014, 14:12:00 UTC - in response to Message 38082.  

Could you crop me the Performance information the *0_0 output file, please?

Matt

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Message 38090 - Posted: 26 Sep 2014, 15:30:31 UTC - in response to Message 38085.  

biodoc, I send you a off topic PM in this very moment.
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Message 38091 - Posted: 26 Sep 2014, 16:23:14 UTC - in response to Message 38088.  

Could you crop me the Performance information the *0_0 output file, please?

Matt

It's already finished, and uploaded.
I'll swap my cards when I get home.
709-NOELIA_20MGWT-1-5-RND4766_0 18,458.00 sec
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Message 38094 - Posted: 26 Sep 2014, 21:40:24 UTC - in response to Message 38088.  

Could you crop me the Performance information the *0_0 output file, please?

Matt

I've successfully swapped my GTX670 ans GTX980 and hacked this client, so now I have another workunit in progress.

The workunit is 13.103% completed at 40 minutes, the estimated total computing time is 18.316 sec (5h5m)
A similar workunit took 16.616 sec (4h37m) to finish on my GTX780Ti (@1098MHz)

CPU: Core i7-4770K @4.3GHz, 8GB DDR3 1866MHz
GPU usage: 98% (CPU thread 100%, PCIe3.0x16)
GPU Temperature: 62°C
GPU Memory Controller load: 52%
GPU Memory usage: 804MB
GPU Voltage: 1.218V
GPU Power: 95% (Haven't measured at the wall outlet)
GPU Core Clock: 1240MHz

# Simulation rate 83.10 (ave) 83.10 (inst) ns/day. Estimated completion Sat Sep 27 11:06:30 2014
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# Simulation rate 94.72 (ave) 94.93 (inst) ns/day. Estimated completion Sat Sep 27 09:37:02 2014
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# Simulation rate 94.78 (ave) 94.93 (inst) ns/day. Estimated completion Sat Sep 27 09:36:38 2014
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Message 38097 - Posted: 27 Sep 2014, 9:10:11 UTC

My GTX980 is crunching fine, a little slower than a GTX780Ti, while consuming much less power. So probably the GPUGrid client can use more than 1920 CUDA cores of the GTX780Ti (or it can't use all CUDA cores in Maxwell).
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Message 38098 - Posted: 27 Sep 2014, 11:24:11 UTC
Last modified: 27 Sep 2014, 11:27:32 UTC

Great work, Zoltan!

For somparison my GTX660Ti with "Eco-tuning" running a NOELIA_20MGWT, which yields the same credits as the WUs you used:
GPU usage: 93% (CPU 1-2% of an 8-threaded i7 3770K, PCIe3.0x16)
GPU power 100% of its 110 W limit (-> ~121W at the wall outlet, increase over idle ~105 W)
GPU temperature: 64°C (ambient: 22°C)
GPU memory controller load: 39%
GPU memory used: 978MB
GPU voltage: 1.05V
GPU core clock: 1084MHz

Runtime will be ~39000s, as usual. Taking a Win 8.1 tax of ~7% for my system into account you achieve just about double the performance. The cards power consumption is 110 W vs. 165*0.93=153.5 W, i.e. your card consumes only about 40% more! (not taking PSU efficiencies into account here)

I'd be interested in how your numbers change, if you eco-tune your card to ~1.1 V by reducing the power target. If you don't want to run such tests don't worry, I'll probalby measure this myself soon with a GTX970 ;)

biodoc wrote:
Good news that the app is working but disappointing performance.

I would say it's only disappointing if your expectations were set really high. So far GM204 is not performing miracles here, but it's performing solidly at almost the performance level of GK110 for far less power used.

biodoc wrote:
I believe the GPUGrid app uses SP floating point calculations.

Correct.

eXaPower wrote:
Also, do have idea how many of those "scalar" GM204 cores are cooking? Earlier in this thread-- You estimated 1920-2880 cores are being utilized for "superscalar" GK110.

It was always hard for GPU-Grid to use the superscalar shaders, which amounts to 1/3 of all shaders in "all but the high-end Fermis" and all Keplers. That's where this number comes from. Maxwell has no such restrictions, hence all shaders can be used in principle. This says nothing about other potential bottlenecks, however: PCIe bus, memory bandwidth, CPU support etc. Translating these limitations into statments along the lines of "can only use xxxx shaders" would be misleading.

Edit: BTW, what's the memory controller load for GTX780Ti running such tasks?

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Message 38099 - Posted: 27 Sep 2014, 12:15:46 UTC

There are more potential variables in Zoltan's tests so far:

Cuda 6.5 vs 6.0
Zoltan's 780Ti cards: Are they reference cards or overclocked?
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Message 38100 - Posted: 27 Sep 2014, 12:46:34 UTC
Last modified: 27 Sep 2014, 12:47:02 UTC

[url]http://www.anandtech.com/show/8568/the-geforce-gtx-970-review-feat-evga/13 [/url]

Very interesting comments about GTX970 GPC partition(s), requiring further investigation.
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Message 38101 - Posted: 27 Sep 2014, 12:55:44 UTC - in response to Message 38100.  

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Message 38102 - Posted: 27 Sep 2014, 12:57:04 UTC

@Biodoc: valid points. Regarding the clockspeed Zoltan said his GTX780Ti was running at 1098MHz, so it's got a "typical" overclock. And the new app claims to be CUDA 6.5. However, I don't think Matt changed the actual crunching code for this release, so any differences would come from changes in built-in functions. During the last few CUDA releases we haven't seen any large changes of GPU-Grid performance, so I don't expect it this time either. Anyway, for the best comparison both cards should run the new version.

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Message 38104 - Posted: 27 Sep 2014, 13:23:13 UTC - in response to Message 38102.  

@Biodoc: valid points. Regarding the clockspeed Zoltan said his GTX780Ti was running at 1098MHz, so it's got a "typical" overclock. And the new app claims to be CUDA 6.5. However, I don't think Matt changed the actual crunching code for this release, so any differences would come from changes in built-in functions. During the last few CUDA releases we haven't seen any large changes of GPU-Grid performance, so I don't expect it this time either. Anyway, for the best comparison both cards should run the new version.

MrS


Has dynamic parallelism (C.C 3.5/5.0/5.2) been introduced to ACEMD? Or Unified Memory from CUDA 6.0? Unified memory is a C.C 3.0+ feature.
Quoted from newest CUDA programming guide-- "new managed memory space in which all processors see a single coherent memory image with a common address space. A processor refers to any independent execution unit with a dedicated MMU. This includes both CPUs and GPUs of any type and architecture. "
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Message 38106 - Posted: 27 Sep 2014, 13:32:39 UTC

I posted some power consumption data for my GTX980 (+/- overclock) at the F@H forum.

Also, there's some early numbers for a GTX970 in the same thread.

https://foldingforum.org/viewtopic.php?f=38&t=26757&p=269043#p269043
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Message 38108 - Posted: 27 Sep 2014, 17:21:01 UTC - in response to Message 38104.  

Has dynamic parallelism (C.C 3.5/5.0/5.2) been introduced to ACEMD? Or Unified Memory from CUDA 6.0? Unified memory is a C.C 3.0+ feature.

Dynamic parallelism: no. It would break compatibility with older cards or require two separate code paths. Besides, GPU-Grid doesn't have much of a problem occupying all shader multiprocessors (SM, SMX etc.).

Unified memory: this is only meant to ease programming for new applications, at the cost of some performance. For any existing code with optimized manual memory management (e.g. GPU-Grid) this would actually be a drawback.

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Message 38109 - Posted: 27 Sep 2014, 18:13:10 UTC - in response to Message 38108.  
Last modified: 27 Sep 2014, 18:19:46 UTC

Has dynamic parallelism (C.C 3.5/5.0/5.2) been introduced to ACEMD? Or Unified Memory from CUDA 6.0? Unified memory is a C.C 3.0+ feature.

Dynamic parallelism: no. It would break compatibility with older cards or require two separate code paths. Besides, GPU-Grid doesn't have much of a problem occupying all shader multiprocessors (SM, SMX etc.).

Unified memory: this is only meant to ease programming for new applications, at the cost of some performance. For any existing code with optimized manual memory management (e.g. GPU-Grid) this would actually be a drawback.

MrS


In you're opinion: how can GPUGRID occupied SM/SMX/SMM be further enhanced, and refined for generational (CUDA C.C) differences? Compatibility is important, as is finding the most efficient code path from CUDA programming. How can we further advance ACEMD? CUDA 5.0/PTX3.1~~~>6.5/4.1 provides new commands/instructions.
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Message 38110 - Posted: 27 Sep 2014, 20:20:48 UTC - in response to Message 38109.  

That is a good question. One which I can unfortunately not answer. I'm just a forum mod and long-term user, not a GPU-Grid developer :)

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Message 38111 - Posted: 27 Sep 2014, 20:40:32 UTC - in response to Message 38109.  


In you're opinion: how can GPUGRID occupied SM/SMX/SMM be further enhanced, and refined for generational (CUDA C.C) differences? Compatibility is important, as is finding the most efficient code path from CUDA programming. How can we further advance ACEMD? CUDA 5.0/PTX3.1~~~>6.5/4.1 provides new commands/instructions.



We have cc-specific optimisations for each of the most performance sensitive kernels. Generally don't use any of the features introduced post CUdA 4.2 though, nothing there we particularly need.

I expect the GM204 performance will be marked improved once I have my hands on one.

Matt
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Message 38112 - Posted: 27 Sep 2014, 20:58:20 UTC - in response to Message 38111.  

I expect the GM204 performance will be marked improved once I have my hands on one.

Matt

I can give you remote access to my GTX980 host, if you want to.
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