Why primegrid,milkiway and dnetc@home are firsts credits projects?

David
David
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Topic 195570

I would like that system of credits use primegrid,dnetc,milkyway and collatz conjecture@home for gett so much credit, and ohter projects with thousands of computer get so little credits... thanks for answer friends...

DanNeely
DanNeely
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Why primegrid,milkiway and dnetc@home are firsts credits project

For the subset of problems that can be split into hundreds or thousands of independent parts and run on extremely simple processors, the hundreds or thousands of processors on a GPU can do much more work than a general purpose CPU can.

Ascholten
Ascholten
Joined: 20 Oct 10
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Some of the other projects

Some of the other projects add a little more 'weight' to their project work too.

If you are able to use a GPU, you can crunch a whole lot more data than using CPU power, hence get the credit faster because you are doing much more work.

I forget where I seen it but I believe it's on the Boinc site that there is a table comparing the projects and relative 'point values' against each other.

It's kind of hard to have a 'universal point value' to be given out across the projects because the type of work they have you do, varies so much.

Aaron

If god meant for us not to BOINC he'd have made our #$%^%^ shorter!!

tullio
tullio
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I am running 6 BOINC

I am running 6 BOINC projects. Only 2 of them (SETI and Einstein) have a GPU version. So I am not putting any card with a GPU on my Linux box using an Opteron 1210 at 1.8 GHz. Instead I brought my RAM up to the maximum allowed by my main board, 8 GB, also because I have 2 virtual machines running via VirtualBox, one using 1 GB RAM and the other 512 MB RAM.One is running SETI@home on a Solaris Express guest OS, the other is a BOINC Alpha project.
Tullio

Rechenkuenstler
Rechenkuenstler
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Milkyway@home does have GPU

Milkyway@home does have GPU versions. But you need double precision GPU. Minimum NVIDIA is GTX260. A GTX460 gets a GPU load of 98%, crunches the task (de_separation.....) in 18 minutes, where the CPU version needs 8,5 hours.
For this you get 320 credits.
Compare this with the 5,5 hour GW tasks of E@H with its 251 credits and it is compareable. GPU version does the same work, but with much higher speed.

mikey
mikey
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RE: I would like that

Quote:
I would like that system of credits use primegrid,dnetc,milkyway and collatz conjecture@home for gett so much credit, and ohter projects with thousands of computer get so little credits... thanks for answer friends...

One more thing....each project sets its own amount of credit it gives for the work done. There is a move to try and make every project give the same amount of credits for all work done but it is not going well. The Boinc Server software has the 'new' credit system built into it but it is changeable by each project. Some projects like to give lots of credits so they can attract lots of people, some projects don't want anyone except hardcore crunchers so they tend to keep their credits a little less. In the end Boinc is kind of like an Operating System, we all have one but we each use it differently. There are many other points of view but that is for another thread.

David
David
Joined: 17 Jun 10
Posts: 8
Credit: 144,455
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thanks all people, now i know

thanks all people, now i know the diference time process respect cpu and GPU.

But i have any more question, i have two GPU of 333 mhz, and i chek, "use gpu", really help cpu eith gpu or gpu is insufficient??

Thanks all again, lol ;;))

Rechenkuenstler
Rechenkuenstler
Joined: 22 Aug 10
Posts: 138
Credit: 101,411,803
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Check use gpu and your GPU's

Check use gpu and your GPU's will start working. CPU is only needed for administrativ stuff. Provide data to GPU and drain processed data from it. You can observe it with the gadget GPU-Observer

mikey
mikey
Joined: 22 Jan 05
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RE: thanks all people, now

Quote:

thanks all people, now i know the diference time process respect cpu and GPU.

But i have any more question, i have two GPU of 333 mhz, and i chek, "use gpu", really help cpu eith gpu or gpu is insufficient??

Thanks all again, lol ;;))

According to your pc:
http://einsteinathome.org/account/130869/computers it doesn't look like you have loaded the driver for it yet. It will NOT work until you do, go here http://boinc.berkeley.edu/wiki/GPU_computing to get the proper drivers for whatever kind of card you have, Nvidia or ATI. Not ALL cards will work but alot will, what make and model is yours?

For those projects that a gpu can work on it is MUCH faster and produces a ton more credits than a cpu can. Once you let us know what make and model your card we can give you a list of projects you can use it on. Not all projects can use both Nvidia and ATI and some even require the gpu to have special requirements, such as MilkyWay that requires a Dual Precision gpu.

David
David
Joined: 17 Jun 10
Posts: 8
Credit: 144,455
RAC: 0

Thanks Mikel and

Thanks Mikel and Rechenkuenstler, My grafic card is this:

Intel(R) Graphics Media Accelerator Driver for Mobile Report

Report Date: 01/13/2011
Report Time[hr:mm:ss]: 15:33:22
Driver Version: 7.14.10.1329
Operating System: Windows Vista (TM) Business* , Service Pack 1 (6.0.6001)
Default Language: Spanish
DirectX* Version: 10.0
Physical Memory: 2037 MB
Minimum Graphics Memory: 8 MB
Maximum Graphics Memory: 358 MB
Graphics Memory in Use: 171 MB
Processor: x86 family 6 Model 15 Stepping 13
Processor Speed: 1729 MHZ
Vendor ID: 8086
Device ID: 2A02
Device Revision: 03

* Accelerator Information *

Accelerator in Use: Mobile Intel(R) 965 Express Chipset Family
Video BIOS: 1436
Current Graphics Mode: 1280 x 800 True Color (60 Hz)

I can computing with my GPU??

Other think, i put in gadgets meter of cpu, but do not appear the gpu...

I do not know that my gpu is appropriate to computing, in Einstein@home...
Thnks all people by answer ;;))

Jord
Joined: 26 Jan 05
Posts: 2,952
Credit: 5,605,220
RAC: 285

RE: I can computing with my

Quote:
I can computing with my GPU??


Not at present. Perhaps when Einstein releases an OpenCL application, but until that time you require an Nvidia brand GPU, with model number 8300 or above to be able to use CUDA around here, while other projects require an ATI brand GPU.

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