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Try the forums. FAH's 'core' actually runs completely in assembly, this will push your system to the limit, shouldn't crash it out though. If you're blocking air vents while running FAH, you will have problems. Maybe you're overheating. Try the forums though http://forum.folding-community.org/

This board has still more "crunching" performance than older generations, but the power usage is insane:
http://forum.folding-community.org/fpost185371.htm l#185371
http://folding.stanford.edu/FAQ-ATI.html

"Using supercomputers to test the next-generation version of the SMP code, we get good scaling to many more cores than in the Intel prototype, and we expect to do even better in the future."

http://forum.folding-community.org/fpost166684.htm l#166684
http://fahwiki.net/index.php/SMP_client

It is called Beta.
Just go to the FCF http://forum.folding-community.org/forum54,gpu-cli ent-core-issues.html and report those issues and chances are that those issues get resolved and fixed.

There's a thread about it at the folding forums: http://forum.folding-community.org/viewtopic.php?t =14182&postdays=0&postorder=asc&start=90 It isn't out yet, but they're working on getting the cores native. Intel native cores are what really matters, even if the client is running in Rosetta, because the client does very little actual work. My guess is that you'll see it in the next 4-6 months. They've probably been especially busy with the GPU stuff and the PS3 client.

2.4 GHz Core 2 Duo vs. 2.4 GHz Athlon A64 X2, both running FAH (Folding@home)
The Intel counterpart does seem to be quicker than AMD one.
http://forum.folding-community.org/viewtopic.php?p =142577#142577

Folding@Home (the Stanford project, distinct from WCG, but not exactly "competing"), is accessible to both x86 (Windows/Linux) and PowerPC (Mac G3, G4, G5) processors. Mac systems make up around 5% of the total CPU's in Folding@Home, and 5 of the top 100 folding teams are Mac-oriented, well above Apple's 3.5% US and 2% worldwide market share.

(By the way, the above link provides access to Folding team home pages; click on a team in the list and a link to its home page will appear near the top of its stats page).

Folding@Home is developing a BOINC client, currently in closed beta testing, which will supplement (NOT replace) the conventional F@H client. It is coming along slowly because BOINC itself is a moving target. However, as far as I know, SPARC/Sun/Solaris support is not part of the Stanford group's plans.

As a long time participant in Folding@Home, I appreciate the project's achievements in basic research, the participants' respect for scientific endeavor, the atmosphere of mutual friendly support in the project forum (slow-loading; wait for it) and team forums, and the project leaders' commitment to free and open disclosure of scientific results. In contrast to the WSJ's description of the SETI project, Folding@Home is a d.c. project for grownups.

Aside, the avalanche of arguments about Big Pharma seems to me totally beside the point, as it has only the most tenuous connection with Folding@Home and even less with SETI.

FAH and RAH are not similar projects nor even have similar goals.
RAH goes only after the final state of the folded protein, but the FAH is insterested in the intermediate steps of the protein folding process.
And you can value one project over another depending how you define the usefullness of each project.

http://forum.folding-community.org/viewtopic.php?p =125338#125338

That must be why they're working on a BOINC Folding client.

They are indeed cooperating:
http://forum.folding-community.org/viewtopic.php?p =67420#67420

Multiple GPUs will be good to have as there are lots of uses for GPUs additionally to pretty pictures.

The Folding@home (http://folding.stanford.edu/) is about to enter the GPU based Folding:
http://forum.folding-community.org/viewtopic.php?p =75287#75287

Interesting times ahead...

> I wonder how the Fold@Home total CPU power compare to this in terms of percentage?

Not to worry the Folding@home has more power in terms of TFLOPS than the Blue Gene/L (195 TFLOPS vs. 70 TFLOPS):
http://vspx27.stanford.edu/cgi-bin/main.py?qtype=o sstats

But there is no competition, the Pande Group and Blue Gene/L teams are cooperating:
http://forum.folding-community.org/viewtopic.php?p =67420#67420

Some day you may be able to Fold proteins with your GPU.

Yes, I definitely agree. We (I'm the head of the Folding@Home project) are actively working on this with the Brook group and other collaborators at Stanford. Stay Tuned! For those that are curious, there as been some discussion on the Folding forum http://forum.folding-community.org/

MSNBC Article.

Folding@Home Home

For the real info though check out the Forums

Token link to how my team is doing.

PRIME1