Please join my team, based at Team 32 and help to find a cure for cancer and other genetic diseases. Through the donation of some of your computer processor all the time that it is switched on, it will be able to process data from Stanford University that will help lead to further investigation of the causes and subsequently the cures for cancer and other diseases. This is a truly worthwhile cause and you can even have some fun doing it! If you are a windows user, please click here to download the client. Any computers that you can donate to this would be very much appreciated. Please see my sig for further details on setup.
The Google toolbar's DC client is buggy, usually doesn't let you view your stats, and can be switched to any other Google project they want at any time. Not to say it is bad, but the real [email protected] client is better.
That said, I'm running [email protected] on both my desktop, my extra laptop that has no screen, and on my web server (only a dozen sites on the server, it's not slowing them down at all).
Cancer is caused by a number of genetic mutations that can occur in a cell, causing it to reproduce too rapidly without stop. By understanding the different shapes proteins can fold into (an extremely difficult task, which is why it takes all this computing power), you can learn how they interact with proteins in the body's cells to create drugs to counteract these different mutations.
Studying proteins is fundamental to the science of creating new medicine.
What does [email protected] do? [email protected] is a distributed computing project which studies protein folding, misfolding, aggregation, and related diseases. We use novel computational methods and large scale distributed computing, to simulate timescales thousands to millions of times longer than previously achieved. This has allowed us to simulate folding for the first time, and to now direct our approach to examine folding related disease.
How can you help? You can help our project by downloading and running our client software. Our algorithms are designed such that for every computer that joins the project, we get a commensurate increase in simulation speed.
Why not just use a supercomputer? Modern supercomputers are essentially clusters of hundreds of processors linked by fast networking. The speed of these processors is comparable to (and often slower than) those found in PCs! Thus, if an algorithm (like ours) does not need the fast networking, it will run just as fast on a supercluster as a supercomputer. However, our application needs not the hundreds of processors found in modern supercomputers, but hundreds of thousands of processors. Hence, the calculations performed on [email protected] would not be possible by any other means! Moreover, even if we were given exclusive access to all of the supercomputers in the world, we would still have fewer cycles than we do with the [email protected] cluster! This is possible since PC processors are now very fast and there are hundreds of millions of PCs sitting idle in the world.