Two projects on one GPU?
31 Oct 2019 18:41:02 UTC
Topic 219883
(moderation:
Can I force Einstein and Milkyway both to run on the same GPU at once? The reason I'm considering this is Milkyway is using the double precision part of the GPU, and Einstein uses the single precision part. Are these parts of the chip independant? Can I run both and get twice the work done?
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Think it is doable. I have
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Think it is doable. I have had both Seti and MW set up for 0.5 count at times and have had both the Seti task running alongside the MW task on a gpu. Normally with 3 gpus running I would see either double Seti or double MW tasks on a card, but sometimes I would get a MW task to jump in with the running Seti task at times on a card.
I have given up on this. In
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I have given up on this. In another forum Richard Haselgrove told me how to make it run 1 of each on a GPU, but it produced precisely zero increase in work throughput. I guess the way those projects are coded, or the way my graphics card works, it can't do both at once. As for more than one of the same project on a card, that doesn't achieve much either. Milkyway is already maxing out the card, and Einstein is only at 67%, but adding more tasks only increases the GPU load slightly, and the CPU load astronomically, while the rate it completes tasks remains the same. Something is probably wasting time swapping registers on the chips?
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Yes, it always depends on the
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Yes, it always depends on the science apps and a lot of times on the type of task. Back in the day, you could run 3,4 or 5 Seti CUDA tasks on a card at the same time. No more. One task at a time is the most productive with the shortest run_times with the current apps. Seems the MW volunteers can get away with multiples on AMD cards using the previous generation of cards with ease.
The best way I know to get more production increase is to add another or more gpus and run them 24/7.
I'm on a Radeon 7970 for MW.
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I'm on a Radeon 7970 for MW. This is maxed out with a single MW task. 7970 is about the best for Boinc stuff (performance per price) as I can get them for £60 second hand. The R9 280X is a bit better, I'll be getting those in the future. It irritates me that most newer cards are mainly aimed at doing single precision floating point (I guess that's all that's needed for games, which is their main market). MW needs a good double precision speed.
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Peter Hucker wrote:I'm on a
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This chart should help if you want the best dual precision gpu, the last column is the single precision first, then the dual precision percentage that card does. For instance your 7970 is FP64 = 1/4 FP32 meaning the dual precision rate is only 1/4 as fast as the single precision rate. While a 1080Ti is only at FP64 = 1/32 FP32.
http://www.geeks3d.com/20140305/amd-radeon-and-nvidia-geforce-fp32-fp64-gflops-table-computing/
Yes, I took one of those
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Yes, I took one of those charts a while ago, stuck it into Excel, and added the cost of buying each card, then got it to calculate which gave the most bang for the buck. Every so often I look at new cards to add to it, and update the prices.
This website gives the DP and SP of any card: https://www.techpowerup.com/gpu-specs/radeon-hd-7970.c296
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I run MW on my RVII with E@H
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I run MW on my RVII with E@H as my backup. During the periods where MW won't send tasks I run E@H and there are times when both are running on the same GPU just fine.
Does one slow the other
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Does one slow the other down? If not you should run them both all the time.
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E@H only runs when MW is out
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E@H only runs when MW is out of work because of its stupid 10min forced wait. Of course they share resources for a bit but I don't run like that very long.
MW needs to get its act
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MW needs to get its act together. No other project restricts how much work you can get. You'd think they'd want us to process as much as possible. If I can't get work from a project, I'm going to go elsewhere.
If this page takes an hour to load, reduce posts per page to 20 in your settings, then the tinpot 486 Einstein uses can handle it.