genome@home - yet another DC project

[Waterhouse]

OK, all you overclocking freaks, here's yet another chance to show some serious computer power. We all know about SETI@home and folding@home, as well as RC5-64. Well Stanford has just started a new distributed computing effort to create genes that would produce specific protein structures. It's called (what else) genome@home. It started just a couple of weeks ago, so Team_AnandTech has a chance to climb fast if we hop on. I don't know who created it, but there's a Team_AnandTech account number there. Currently we're ranked 62 of all the teams, and that's just my Athlon 950. Go to

GenomeAtHome.stanford.eduGenomeAtHome.stanford.edu

When you install the client, give the account number 604374405. Or put the line in your client.cfg file:

account=604374405

Let's give it a shot!

 

[artemedes]

Thanks for the info. I'll check it out.
😎

 

[artemedes]

Hey Waterhouse.

Only found that it requires 32mb ram. Do you know if certain processors work better than others, or if there is a minimum type of machine needed? Just curiuos. Didn't find anything on their site about performance. If it will run on slower/older machines I might be able to put a couple on too.

Thanks

 

[Poof]

artemedes and Waterhouse - I think Wiz was getting involved with the project for TA.

Right now, the jury is still out as to which processor runs it faster since it's difficult to get a "standard" WU to bench (the WUs vary in size, ie., containing different numbers and types of amino acids). I think at this point, anything with a higher Mhz will do best.

I have been running it on my Duron 700@963 and it takes about a day or so to do WUs ~80-100aa. I think it took about 4-5 hours to do a "small" 13aa WU. It may take several days to complete a big WU on a "slow" machine. But when it's done, you get a cool-looking genome at the end! 🙂