Advice
4 Mar 2020 17:14:46 UTC
Topic 220889
(moderation:
Hello,
I am coming from SETI@HOME. I have a Linux based AMD Ryzen 5 2600 with 16GB RAM and dual GTX 1070TI GPU's. Currently I am running a SETI version which is customized for Nvidia GPU cudas.
With SETI ramping down I wish to switch to Einstein@home. I am running Einstain while my GPU's are still knocking out SETI.
My Questions
What is the best optimization for this system?
Is there optimized code for NVidia? Or is it 1 Nvidia code for all NVidia GPU's
Will more RAM helpful, I noticed I am using using 95% memory, and have tasks waiting for RAM, how much more RAM would be useful?
All I want to do is optimized my system to get the maximum out of it
Thanks
Munocat
Your cards are useful here.
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Your cards are useful here. But E@H does not employ any CUDA code, they use OpenCL applications.
You won't be seeing the kind of crunch times you're used to seeing with Seti.
Thanks Keith, You helped me
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Thanks Keith,
You helped me a lot on seti, shame they do not use CUDA. Does other project use CUDA?
GPUGrid uses CUDA
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GPUGrid uses CUDA and it really works out my GTX1060s
Very few. You can look at
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Very few. You can look at this project list and look for the Nvidia logo to see which projects can use Nvidia.
https://boinc.berkeley.edu/projects.php
Doesn't indicate CUDA applications though, just that they have Nvidia compute apps which more than likely will be OpenCL based.
Asteroids has an old CUDA55 app but it is not compatible with the newer cards like RTX.
The best match to what we used to run at Seti is the acemd3 CUDA10 app at GPUGrid.net.
There are math projects that use Nvidia too apparently but I have no knowledge of those since those type of projects disinterest me greatly.
Collatz for example uses both
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Collatz for example uses both Nvidia and ATI gpu cards.
If considering to run some
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If considering to run some project other than E@H, with a short look at global curcumstances these days, you may decide to run Folding@Home to keep your GPUs busy and add Rosetta@Home to it for your CPUs.
steffen_moeller wrote:If
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Does Folding use AMD/ATIgpu's or just Nvidia gpu's? And I believe Folding can use cpu's too.
Warren Hardy wrote:My
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I am running Ryzen 3600’s with 16Gb of memory. The CPU gravity wave tasks can use up to 2Gb each. I use an app_config file to limit the machine to 6 at a time. Not only does it reduce the run time (at the expense of half the throughput) but also the memory needed. Given the tasks are quicker you get through slightly more per day than maxing out the CPU cores.
BOINC blog
mikey wrote:Does Folding use
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It uses OpenCL. I run it mainly on Nvidia cards, but AMD works too (e.g., my RX 570 does fine).
The new Core 22 work units are very efficient, but they can run the card slightly harder than the Core 21 ones, so check your temps (and don't overclock).
PS - it works on CPUs too, but since the output of the GPUs is much greater, there is not much point to it.
Save the CPUs for Rosetta.