As an addition to my below graph, the new 1080ti yields 53 GFLOPS/Watt and the Titan XP about the same, assuming that it pulls 220-230W just like the Titan X. Which means the efficiency is identically equal to the non-"ti" 1080. So much for theory...

Since the 1070 is the same GP104 die, it performs very similarly to the gtx 1080 in this project, costs much less, and uses slightly less power. The 1070 is the best performance per watt, performance per dollar card for this project.

I agree.

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I would love to see HCF1 protein folding and interaction simulations to help my little boy... someday.

Since the 1070 is the same GP104 die, it performs very similarly to the gtx 1080 in this project, costs much less, and uses slightly less power. The 1070 is the best performance per watt, performance per dollar card for this project.

I have a 1660Ti that I would like to test out but but but …

1487	GPUGRID	8/15/2019 10:11:04 AM	No tasks are available for Short runs (2-3 hours on fastest card)	
1488	GPUGRID	8/15/2019 10:11:04 AM	No tasks are available for Long runs (8-12 hours on fastest card)	
1489	GPUGRID	8/15/2019 10:11:04 AM	No tasks are available for New version of ACEMD	
1490	GPUGRID	8/15/2019 10:11:04 AM	No tasks are available for Anaconda Python 3 Environment	
1491	GPUGRID	8/15/2019 10:11:04 AM	Project has no tasks available

I have a 1660Ti that I would like to test out but but but …

1487	GPUGRID	8/15/2019 10:11:04 AM	No tasks are available for Short runs (2-3 hours on fastest card)	
1488	GPUGRID	8/15/2019 10:11:04 AM	No tasks are available for Long runs (8-12 hours on fastest card)	
1489	GPUGRID	8/15/2019 10:11:04 AM	No tasks are available for New version of ACEMD	
1490	GPUGRID	8/15/2019 10:11:04 AM	No tasks are available for Anaconda Python 3 Environment	
1491	GPUGRID	8/15/2019 10:11:04 AM	Project has no tasks available

well, you have been with us for 11 years now; so you should have gotten used to this kind of situation :-)

I am currently running a GTX 650 (from an older pc) and a GTX 1050TI.
I am thinking of replacing the 650, but don't want to spend a ton of money.
I saw on a deep learning page that they thought the 1060 was the best of the GTX 10 series, but you guys are saying 1070.

So which is better for the money spent and the power used?
GTX 1070 or 1060? And then vanilla for TI version?

Running a 1060 and quite happy with it.
As an aside, can anyone comment on external GPU's for laptops? My CPU's are idle.

So which is better for the money spent and the power used?

Following thread might be of your interest:
http://www.gpugrid.net/forum_thread.php?id=4987
Personally, I find GTX 1650 interesting due to its relative low cost, power consumption and moderate performance.
I have one of this currently working, processing about 2,5 ACEMD3 test tasks per day.

And I See your 1050 Ti is currently failing all tasks.
I had the same problem with the same card model.
How the problem was solved can be found at this other thread:
http://www.gpugrid.net/forum_thread.php?id=4999

Running a 1060 and quite happy with it.
As an aside, can anyone comment on external GPU's for laptops? My CPU's are idle.

If your laptop offers a Thunderbolt 3 connection, then any number of eGPUs are available.
https://www.anandtech.com/show/15143/gigabyte-aorus-rtx-2080-ti-gaming-box-liquidcooled-tb3-egfx-graphics

Thank you both.

It does. Daisy chain allowed or is it too ambitious?

From that egpu review, it seems that the gpu maxes out the TB3 connection. I doubt it could support another egpu daisy chained behind the first egpu.

Has anyone used a "GTX 1650 SUPER" or "GTX 1660 SUPER" on GPUgrid?

Would be interested to see how they compare to the non SUPER models.

Looking to fill in the blanks for performance (Low powered entry level GPUs) on the Initial Test Work Units.

Average completion time guesstimates:
GTX 1650 28200 seconds
GTX 1650 SUPER ?????
GTX 1060 3Gb 26900 seconds
GTX 1660 19500 seconds
GTX 1660 SUPER ?????
GTX 1660 Ti 16500 seconds

(completion times will vary depending on GPU, host and configuration)

If you like, I can give you some more data about other "low end" cards for the NEW ACEMD3 application:

These are all recent work units of last week. All were completed without errors.
You may add these to your list if you like.


1) NVIDIA GeForce GTX 745 Maxwell (2048MB 900Mhz DDR3 128-bit) - driver: 430.86:
CPU = AMD FX4320 quad core
Run TIme: 166,385.50 sec = +- 46 hours
See
http://www.gpugrid.net/show_host_detail.php?hostid=512409

2) NVIDIA GeForce GT 710 Kepler (2048MB DDR5 64-bit) - driver: 432.0
CPU = Core 2 Duo E8200 Dual core
Run Time: 375,108.98 sec = +- 104 hours
See
http://www.gpugrid.net/show_host_detail.php?hostid=502519

3) NVIDIA GeForce GT 710 Kepler (2048MB 800Mhz DDR3 64-bit) driver: 436.48
CPU = AMD A8-9600 Quad Core
Run Time = 431,583.77 sec = +- 119 hours
See
http://www.gpugrid.net/show_host_detail.php?hostid=514223

4) NVIDIA GeForce GT 1030 Pascal (2048MB DDR5 64-bit) - driver: 436.48
CPU = Celeron E3300 Dual Core
Run Time = 113,797.23 sec = +- 31 hours
See
http://www.gpugrid.net/show_host_detail.php?hostid=500299

5) NVIDIA GeForce GT 730 Kepler (2048MB DDR5 64-bit) - driver: 419.35
CPU = AMD Athlon 200GE Dual Core, Quad thread
Run time = 233,535.98 sec = +- 64 hours
See
http://www.gpugrid.net/show_host_detail.php?hostid=503400



Be aware of the following points which may have influenced the performance:
- I suppose that the ACEMD3 work units are not 100% identical in the amount of work they represent, so compare the results with a big grain of salt.
- All are Windows 10 machines.
- All computers have different processors.
- At the same time, the CPUs were crunching Mapping Cancer Marker work units, as many as they have cores/threads.
- 1 of my GT710s has DDR5 memory, the other one has DDR3 memory. I have stated it above.
- All GPUs and CPUs run at default speeds. No (manual) overclocking was done.
- None of the CPUs and GPUs ever reached 70 degrees Celsius.
In fact, except for the GT1030, all even stayed well below 60°.



Hope you like it. :-)
Greetings;
Carl Philip

Thanks for your feedback Carl

Agree. Kudos Carl for defining what to expect from low end Nvidia cards. Even multi generation old cards are still usable for this project.

Remember that the deadline is 5 days (120 hours) and the present workunits are quite short, as the fastest card (the RTX 2080 Ti at the moment) can finish them in 1h 42m. It can be 8-12 hours on the fastest cards by definition, so the long workunits can be 4.72~7.08 times longer than the present test workunits. If the workunits will get long enough to hit the 8h on the fastest cards, none of the cards on this list will be fast enough to finish them within the deadline. The deadline won't be extended.
Don't buy low-end GPUs for GPUGrid.
If you don't want to get frustrated by crunching for GPUGRid in the long term, the minimum for this project is a mid-range card (provided that the host is turned on and crunching most of the time): GTX 1660, GTX 1060 and up.

Looking back at the original post and subsequent comments...the conversation and quest for data and efficiency from GPUs has not changed in 10 years.
Some of the GPUs in the original posts can be considered museum artifacts.

I think the definitions of "long-run" tasks and "short-run" tasks have gone away with their applications. Now only New ACEMD3 tasks are available and in the future.

So until we see normal research work using that app that takes longer than the current batch, I would say that tasks are falling in the 4-5 hour window on mid to high end gpus.

We are already seeing work not labelled test_Toni but initial_xx and expect normally labelled work to follow shortly.

The switch between tasks may need to be extended out to that original long definition eventually.

I have some stats for the mining type cards: P102-100 and P106-100

CUDA: NVIDIA GPU 0: P106-100 (driver version 440.26, CUDA version 10.2, compute capability 6.1, 4096MB, 3974MB available, 4374 GFLOPS peak)
CUDA: NVIDIA GPU 1: P102-100 (driver version 430.40, CUDA version 10.1, compute capability 6.1, 4096MB, 3964MB available, 10771 GFLOPS peak)

http://www.gpugrid.net/show_host_detail.php?hostid=509037
There are 3 GPUs, units are minutes
Dev# WU count Avg and Std of avg
GPU0 WUs:6 -Stats- Avg:279.7(0.63)
GPU1 WUs:6 -Stats- Avg:258.9(1.46)
GPU2 WUs:6 -Stats- Avg:325.2(0.38)

GPU0 is 1660Ti
GPU1 is P102-100
GPU2 is 1070


http://www.gpugrid.net/show_host_detail.php?hostid=517762

There are 3 GPUs, units are minutes
Dev# WU count Avg and Std of avg
GPU0 WUs:2 -Stats- Avg:474.3(0.46)
GPU1 WUs:2 -Stats- Avg:477.4(0.38) --this should have been the fastest card of the 3
GPU2 WUs:2 -Stats- Avg:497.3(0.59)

GPU0 & 2 are P106-100
GPU1 is eVga 1060 with 6gb

I think the definitions of "long-run" tasks and "short-run" tasks have gone away with their applications. Now only New ACEMD3 tasks are available and in the future.

@TONI: would you please answer this above assumption. I have my RTX 2080 set for ACEMD3 only and my 2 GTX 1060s set for "Long" and "Short" WUs only. But my 1060s have not received a task in many days.Also why not update the GPUGrid preferences selection options to display reality.I realize this is not the best forum to address the situation but maybe it will be answered anyway. Billy Ewell 1931 (as of last week I can legally boast of being 88 great years of age!)

Life is GOOD.

Remember that the deadline is 5 days (120 hours) and the present workunits are quite short, as the fastest card (the RTX 2080 Ti at the moment) can finish them in 1h 42m. It can be 8-12 hours on the fastest cards by definition, so the long workunits can be 4.72~7.08 times longer than the present test workunits. If the workunits will get long enough to hit the 8h on the fastest cards, none of the cards on this list will be fast enough to finish them within the deadline. The deadline won't be extended.
Don't buy low-end GPUs for GPUGrid.
If you don't want to get frustrated by crunching for GPUGRid in the long term, the minimum for this project is a mid-range card (provided that the host is turned on and crunching most of the time): GTX 1660, GTX 1060 and up.

Thanks for the warning. :-)
I think I wanted to post these in another post about older GPUs, but I need to take a look if I can find it again.

I have a GTX1060 Founders Edition lying around here, but I still need to build a pc around it. :-)
I'll look for a second hand desktop somewhere with a good enough power supply for the GTX1060.
I hope that that card will be good enough for GPUGRID for at least the next 2-3 years.

Cheers;
Carl