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Just joined OCN BOINC Team! Few Questions...

post #1 of 10
Thread Starter 
I had messed with trying to get GPU folding to work awhile ago, but I just don't have the skills to make it happen beings that I am using linux but am really not very well versed in linux (I make do for the basics).

I just stumbled upon BOINC, and this lets me put that GPU to use under linux with far less hassle. I'm a pretty happy camper now!!!

Anyways.... The system I will put to work is my sig rig. I joined the OCN teams for PrimeGrid, DNETC, and GPUgrid. Is there a particular project that I should focus on given my hardware?

Also... Have you guys found a way to run GPU tasks without it causing the system to run very choppily? (besides running it on an alternative GPU?). I only have 1 GPU but would really like to be able to throttle the GPU usage a hair so that the system doesn't have problems while it is running. I have found that primegrid seems to cause the least lag, so I may stick to that primarily for the GPU side of things for now..

On DNETC, there is the option to choose which "core" to use for both the CPU and GPU. There are 11 selections for each. I tried to get the normal dnetc client to run so I could run benchmarks but it's not working. (some cuda link problem). Anyone know what cores usually bench best on a propus and/or GTX460.
Edited by mdocod - 3/1/11 at 3:45pm
     
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post #2 of 10
Firstly, welcome to Team OCN

For project, just focus on whatever projects' goal you like better. Points are not the biggest thing, despite it being what ranks up so high currently.

I find that some projects have work units that are less intensive. Collatz Conjecture GPU app on my 4670 and 5770 don't cause my computer to grind to a halt as much as PrimeGrids.

As for the GPU usage, I am not sure if there exists a setting that you can hack to do that, but maybe someone else from Team OCN knows?
Edited by gamer11200 - 3/1/11 at 6:50pm
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post #3 of 10
I run GPUGrid and Rosetta@Home, with DNETC as a backup GPU project and World Community Grid as a backup CPU project. The good thing about GPUGrid is that it only uses about 75-80% of the GPU, so your system won't feel choppy. When running GPUGrid with Ubuntu, you should take a look at this thread to make sure that GPUGrid can play nice with any other CPU tasks you're running.

As for what projects to run, gamer11200 is right: just run the projects you like. I don't care too much for the mathematical projects such as PrimeGrid and Collatz Conjecture. I run DNETC more out of nostalgia than anything else, since that was the first distributed computing project I ran for a significant length of time back in the day.
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post #4 of 10
Thread Starter 
Hi Gamer and Kirby,

Thank you both for the insight.

Kirby; With further experimenting, I too found that GPUgrid seems to be more manageable (doesn't choke the video of the system). I find it can be throttled through managing the amount of CPU resources are consumed by the CPU projects. Setting a core to be freed up at all times keeps the GPUgrid task running pretty hard and heavy but still doesn't bring things to a choppy halt.

It's so funny that you mention running DNETC out of nostalgia. I too remember it being the "big thing" for nerds to do back in the day. That was the era of the early INTERNET and 200-600MHZ machines for me. I will probably choose which projects to run based on what seems to be easiest to incorporate into my everyday computing without weird issues. I agree though that big brute numbers based projects may not be the best use of recourses. As I understand, GPUGrid is more biology oriented and could lead to medical advances.

Eric
     
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post #5 of 10
for nvidia cards there are 5 good gpu apps available. there is some debate so take it with a grain of salt. gpugrid is always reliable and one of the few that use the gpu to fold like folding@home. seti@home gives descent points to help scour captured sounds from space looking for the little grey men or green men what have you. collatz conjecture also gives descent points, along with dnetc to help find solutions for known complex mathematical equations. finally milkyway is a nice project that helps us better design a model of our galaxy using our gpu power. Yes i know there are more projects that use the power of nvidia cards, but these seem to be the most reliable there are and give the best credits/work done. These are based on my experience processing for said projects; dont take my word for it try them for yourself and decide what works best for your hardware/time/beliefs, etc....
    
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post #6 of 10
Quote:
Originally Posted by mdocod View Post
It's so funny that you mention running DNETC out of nostalgia. I too remember it being the "big thing" for nerds to do back in the day. That was the era of the early INTERNET and 200-600MHZ machines for me. I will probably choose which projects to run based on what seems to be easiest to incorporate into my everyday computing without weird issues. I agree though that big brute numbers based projects may not be the best use of recourses. As I understand, GPUGrid is more biology oriented and could lead to medical advances.
For me at least, back in the day for distributed.net was around 2003-2005.
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post #7 of 10
i started seti@home classic in 1999 when it was just a screensaver
    
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post #8 of 10
I remember reading about SETI@Home in a science magazine at that time. Thought about running it, but my dad objected (at that time, I was still a kid, so the sole computer in the house was his).
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post #9 of 10
Thread Starter 
I think I've taken a liking to eintsein@home as well as GPUgrid. Both leave plenty of idle cycles on the GPU to keep the machine running with no noticeable performance loss. I could always switch projects when I'm away from the machine to use more of the GPU.
     
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post #10 of 10
I agree with the above posters, roll with the projects you like.

Personally my guiding principle is to not donate power and time to for-profit companies, which is why I like WCG but do not contribute to Aqua.
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