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Projects of the Month for May 2016 - Page 10

post #91 of 99
Quote:
Originally Posted by tictoc View Post

DP capabilities for the 1080 are the same as the 980, so 1/32 fp64. 

Best chance at an NVIDIA consumer card with decent fp64 would be whatever the Titan Pascal will be.  Even then, no guarantees since the TitanX got gimped fp64 compared to the Titan and Titan Black, which had 1/3 fp64, compared to the 1/32 fp64 on TitanX.

Which means that the hd7970, 7990 and R9 280 x are going to be the top of the DP hill for some time to come. (barring what they do with Pascal)

Maybe old hardware but it's still the best available at some jobs.
post #92 of 99
Quote:
Originally Posted by tictoc View Post

Not sure what page you were looking at, but a 390x would have to be clocked impossibly high to beat a 7970/280x in double precision.  This is the best quick comparison sheet I've found: http://www.geeks3d.com/20140305/amd-radeon-and-nvidia-geforce-fp32-fp64-gflops-table-computing/

The only entry in the benchmark thread at MilkyWay, has a stock clocked r9 390 taking twice as long as my 7970.  I think that my 290, which is OC'd to 1215 Mhz, and about equal to a stock 290x, was only about 75% of my 7970s.

Unless Vega (AMDs next enthusiast GPU) gets back to 1/8 or 1/4 fp64, the 7970 will probably still be it's equal in double precision. 

They be needing to update that chart... I was using it figure out which rigs to put up for Pentathalon since I have limited plug space. Built a spreadsheet for each config. biggrin.gif
Quote:
Originally Posted by Tex1954 View Post

I was looking at THIS page...

Looks like this when all cut down...



According to this, be hard pressed to find anything much better than a 7970/280X for DP stuff...

SINGLE precision screams on the newer Fury/Nano cards... but DP seems to have suffered...

biggrin.gif

Ok, I was wondering where to find updated tables. They should have some sort of tool you can run to find out what your current GFlop score is. I found GPU Test, where you can run Julia FP32 and FP64 benchmarks, but it give you the result in FPS...how does that translate to GFlops? From what I read, there are other factors like CPU and memory that go into FPS scores.
Edited by spdaimon - 5/26/16 at 4:12am
post #93 of 99
Quote:
Originally Posted by spdaimon View Post

They be needing to update that chart... I was using it figure out which rigs to put up for Pentathalon since I have limited plug space. Built a spreadsheet for each config. biggrin.gif
Ok, I was wondering where to find updated tables. They should have some sort of tool you can run to find out what your current GFlop score is. I found GPU Test, where you can run Julia FP32 and FP64 benchmarks, but it give you the result in FPS...how does that translate to GFlops? From what I read, there are other factors like CPU and memory that go into FPS scores.

Interesting thing... the charts say one thing, but actually tasks at Folding@home put the R9 Fury X in the same ballpark as a GTX 970...

The 970 shows SP-3494 DP-109 vs. the R9 Fury X at SP-7168 DP-448.... so the correlation between FP32/FP64 vs. actual output in an OpenCL task is baffling to say the least. Nvidia seems to be King-Of-The-Road in Folding@Home and I can only suppose that is because of CUDA use or other optimizations.

The disparity between them in FOLDING is one thing, but if we compare against Milkway or Einstein, AMD is king...

So far as tools go, I think we would need something that compares OpenCL to OpenCL and also CUDA... CUDA is a much more mature platform vs. OpenCL and that may be one of the biggest problems out there...

I have no real answers, only see what results other people get on certain projects on a per GPU basis I guess....

biggrin.gif
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post #94 of 99
Quote:
Originally Posted by Tex1954 View Post

Interesting thing... the charts say one thing, but actually tasks at Folding@home put the R9 Fury X in the same ballpark as a GTX 970...

The 970 shows SP-3494 DP-109 vs. the R9 Fury X at SP-7168 DP-448.... so the correlation between FP32/FP64 vs. actual output in an OpenCL task is baffling to say the least. Nvidia seems to be King-Of-The-Road in Folding@Home and I can only suppose that is because of CUDA use or other optimizations.

The disparity between them in FOLDING is one thing, but if we compare against Milkway or Einstein, AMD is king...

So far as tools go, I think we would need something that compares OpenCL to OpenCL and also CUDA... CUDA is a much more mature platform vs. OpenCL and that may be one of the biggest problems out there...

I have no real answers, only see what results other people get on certain projects on a per GPU basis I guess....

biggrin.gif

the word I've been seeing out there is that Nvidea is moving towards a more Open-CL development for their hardware. The point of Cuda was a proprietary software system, but they are finding that Open-CL is developing more rapidly and the code base is about equal to Cuda and in some cases better.

This has been coming for about a year, they are not going to abandon Cuda but the emphasis on it is diminishing. Open CL has the upper hand in gaming now especially since gaming has been minimizing DP and pushing DP processing off on the CPU's allowing the GPU faster video response by doing all the SP. (it is what AMD did to get around the stuttering issue at high res and speeds)

Eventually, everything is going to be Open CL, but Cuda is safe for a few more years at least.

That is what my understanding is.....
post #95 of 99
Quote:
Originally Posted by Tex1954 View Post

Interesting thing... the charts say one thing, but actually tasks at Folding@home put the R9 Fury X in the same ballpark as a GTX 970...

The 970 shows SP-3494 DP-109 vs. the R9 Fury X at SP-7168 DP-448.... so the correlation between FP32/FP64 vs. actual output in an OpenCL task is baffling to say the least. Nvidia seems to be King-Of-The-Road in Folding@Home and I can only suppose that is because of CUDA use or other optimizations.

The disparity between them in FOLDING is one thing, but if we compare against Milkway or Einstein, AMD is king...

So far as tools go, I think we would need something that compares OpenCL to OpenCL and also CUDA... CUDA is a much more mature platform vs. OpenCL and that may be one of the biggest problems out there...

I have no real answers, only see what results other people get on certain projects on a per GPU basis I guess....

biggrin.gif

FAH uses single precision and OpenCL so that the same projects can be run on AMD and NVIDIA cards. DP performance is another thing, esp when comparing to FAH. Professional cards might offer more performance on some of the later generation of cards but thats cost prohibitive.
post #96 of 99
Curious question.... Will we continue to crunch these three as the "extended into June" POTM's, or will new ones be selected for the ten or so days left over? ^_^
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post #97 of 99
Thread Starter 

As far as I know we don't do the POM in the month of the Pentathlon, I moved my server over to WCG, everything else is taking a breather until I get back home. 

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post #98 of 99
Ahhhhhh, good to know. I figured as much, but felt I should ask anyways
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JägerWulfe
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post #99 of 99

POTM will resume July 1st. :thumb: 

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