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-   -   CUDALucas (a.k.a. MaclucasFFTW/CUDA 2.3/CUFFTW) (https://www.mersenneforum.org/showthread.php?t=12576)

chalsall 2016-11-07 19:42

[QUOTE=Batalov;446675]I could use one...[/QUOTE]

Just be aware they run "warm" (read: consume a lot of energy and require a lot of space).

Jerry gave me a 580 a few years ago, for which I will be forever grateful.

chalsall 2016-11-07 19:55

[QUOTE=flashjh;446674]I have a couple of 580s sitting around that are very stable for all work. I can send them to anyone who would like them.[/QUOTE]

Might I suggest that you send those 580s to those who use electricity for heating during the winter months?

Compute is free if, and only if, the heat is needed rather than being expended.

airsquirrels 2016-11-07 20:02

[QUOTE=chalsall;446678]Might I suggest that you send those 580s to those who use electricity for heating during the winter months?

Compute is free if, and only if, the heat is needed rather than being expended.[/QUOTE]

Replacing the heating bill with the computing bill is a favorite of mine. The moment when we pulled out the resistive heating furnace from one of our buildings and replaced it with a liquid-cooling-loop radiator from several GPU boxes for the Ohio winter was quite satisfying.

Batalov 2016-11-07 20:07

[QUOTE=chalsall;446677]Just be aware they run "warm" (read: consume a lot of energy and require a lot of space)..[/QUOTE]

I have a couple 570s-580s, so yes, I know. One of them is in the process of slowly dying , so it would be a replacement for it...

(I've repaired it a few times, but it already hear its maker's call... and of course I am [B]not[/B] trading it via warranty - because EVGA warranty dept usually without asking you 1. receives the card, 2. finds that it's not passing tests, and 3. sends you some lowball replacement like a 750 :yucky: not even a Ti )

kladner 2016-11-07 20:19

[QUOTE=chalsall;446677][B]Just be aware they run "warm"[/B] (read: consume a lot of energy and require a lot of space).

Jerry gave me a 580 a few years ago, for which I will be forever grateful.[/QUOTE]
244 W at stock. Mine is not at stock. I'm not sure just how much the 580 is using.

Just checked the one measure I have: Kil-a-Watt. With CPU and GPUs all running, the 580 doing mfaktc, it reads ~830 W. Stop the 580, it drops to ~545W. I can't test the idling watts, without pulling the card. However, clearly mfaktc (plus harder running fans) is sucking down 285 W. ATM, it is running at 918 MHZ, with the memory turned down to 1400 to save power and reduce heat.

Turning it down to 900 MHz, dropped K-a-W to ~810 W, after the fans slowed down. The core temp dropped from 77 to 74 C.

At my hot weather setting of 861 MHz, it reaches ~775 W, 72-73 C.

Again, these are whole system readings, so only the changes can be attributed to the GPU.[/CAPTAIN OBVIOUS]

kladner 2016-11-11 06:03

[QUOTE=airsquirrels;446679]Replacing the heating bill with the computing bill is a favorite of mine. The moment when we pulled out the resistive heating furnace from one of our buildings and replaced it with a liquid-cooling-loop radiator from several GPU boxes for the Ohio winter was quite satisfying.[/QUOTE]
That is a triumph of conservation! :tu:
Here is a way to get cooling from that heat:
[URL]https://en.wikipedia.org/wiki/Absorption_refrigerator[/URL]
I have known these as "gas refrigerators." The gas, in this case, is the household natural gas used to apply heat to the [STRIKE]evaporator[/STRIKE] regenerator.

storm5510 2016-11-14 02:46

[QUOTE=kladner;446584]...Here is a question: have you run CUFFTbench and threadbench on this card?[/QUOTE]

No, I have not. I did not know about the option until I did some further reading. I will give it a try.

storm5510 2016-11-14 17:42

1 Attachment(s)
A screen capture is below of the threadbench test. Perhaps this may shed some light on this issue.

TheJudger 2017-02-11 01:22

Linux, CUDALucas 2.05.1, CUDA 8.0 running './CUDALucas -cufftbench 2592 8192 20'
[CODE]Device Tesla P100-PCIE-16GB
Compatibility 6.0
clockRate (MHz) 1328
memClockRate (MHz) 715

fft max exp ms/iter
2592 48471289 0.7706
2744 51250889 0.8155
3136 58404433 0.9263
3200 59570449 1.1191
3240 60298969 1.1376
3888 72075517 1.1380
4000 74106457 1.1456
4096 75846319 1.1500
4116 76208701 1.4355
5184 95507747 1.4920
5488 100984691 1.5897
5600 103000823 1.9282
5760 105879517 1.9856
5832 107174381 2.0210
6000 110194363 2.0535
6048 111056879 2.0923
6075 111541967 2.1055
6144 112781477 2.1056
6272 115080019 2.1215
6400 117377567 2.1458
6480 118813021 2.1929
6561 120266023 2.2281
7776 142017539 2.2600
8192 149447533 2.2731
[/CODE]

And not even close the TDP limit: Testing M74207281 with 4000K FFT yields ~175W power draw (card only) while TDP is 250W.

Oliver

ATH 2017-02-11 02:22

Wow, that is ~32 hours for a 80M exponent and ~75 hours for 120M very nice!

And ~22 hours for a 70M compared to ~62 hours on a Titan Black and ~52 hours for 8 cores on a Haswell-E 5960X with quad channel DDR4.

What is the price on a Tesla P100 PCI-E ?



Edit: And ~24 hours on M74207281 compared to Madpoo's "record" of 34 hours on a dual Xeon v3 with 20 cores on it.

ATH 2017-02-11 16:01

Now there is a Nvidia Quadro GP100 coming in March:
[url]http://www.anandtech.com/show/11102/nvidia-announces-quadro-gp100[/url]

Unfortunately they only state FP64 = 1/2 FP32, not the actual numbers.


[QUOTE]The long and short of it is that the Quadro GP100 is meant to be a Tesla/GP100 card for workstations, but with even more functionality. While NVIDIA offers PCIe Tesla P100 cards, those cards only feature passive cooling and are designed for servers; the lack of active cooling means you can’t put them in (conventional) workstations. The Quadro GP100 on the other hand is a traditional, fan & shroud active cooled card, like the rest of the Quadro lineup. And then NVIDIA doesn’t stop there, enabling graphics functionality that isn’t on the Tesla cards.[/QUOTE]

[CODE]
Quadro GP100 Tesla P100 PCI-E
CUDA Cores 3584
Stream Processors 3584
Texture Units 224
ROPs 128?
Core Clock ? ?
Boost Clock 1430MHz 1300Mhz
Memory Clock 1.4 Gbps HBM2 1.4 Gbps HBM2
Memory Bus Width 4096 bit 4096 bit
Memory Bandwidth1 720 GB/sec
VRAM 16GB 16GB
ECC Full Full
FP16 ? 18.7 TFLOPS
FP32 ? 9.3 TFLOPS
FP64 1/2 FP32 4.7 TFLOPS
GPU GP100 GP100
TDP 235W 250W
Transistor Count 15.3B
Architecture Pascal Pascal
[/CODE]


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