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Saturday, September 23, 2000

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find related articles. powered by google. Slashdot Distribute Stuff: Cosm Project's CS-SDK
"Duncan3 writes: "After almost 3 months of public testing the Mithral Client-Server Software Development Kit is now officially out. The Mithral CS-SDK is a part of the Cosm Project which longtime slashdot readers will remember, and is fully buzzword-compliant with "distributed computing", "peer-to-peer", "file-sharing", and "cycle-sharing" - meaning you can easily build any of those types of applications in a weekend. So I expect to see slashdot readers put out at least 20 projects by next Thursday. The Folding@home project based at Stanford has been running for a couple months now doing protein folding and uses the CS-SDK. You can visit them at and download their client software or OpenGL screensaver for Linux x86/Alpha, Tru64, and Win32." Interesting to see how mainstream distributed computing has become even in just the past 12 or so months. Fold proteins, find aliens, break crypto ... what else?"
find related articles. powered by google. Mithral Communications & Design Inc. Mithral Client-Server Software Development Kit
"The Mithral Client Server Software Development Kit allows developers to quickly and easily write large scale client-server applications including "distributed computing" and peer-to-peer types. Examples of what this will allow you to build with this technology are, SETI@Home, Napster, Gnutella, and hundreds of other applications. The example code is an instance of an application that hands out work for the clients to do, then collects the results.

One primary use for the CS-SDK is for a company or research lab who has large amounts of computation to do. This allows you to network the systems you have behind your firewall to get real work done quickly and securely.

The kit should allow a first-year programmer to take an application and make it into a client-server application in a weekend."

find related articles. powered by google. Folding@Home Project Goals
"Understanding how proteins self-assemble ("protein folding") is a holy grail of modern molecular biophysics. What makes it such a great challenge is its complexity, which renders simulations of folding extremely computationally demanding and difficult to understand. (See Scientific Background for more details about what are proteins, why do they fold, why this is so difficult, and why do we care).

Our group has developed a new way to simulate protein folding ("distributed dynamics") which should remove the previous barriers to simulating protein folding. However, this method is extremely computationally demanding and we need your help (see below). We have already demonstrated that our distributed dynamics technique can fold small protein fragments and protein-like synthetic polymers. The next step is to apply these methods to larger, considerably more important and complicated proteins. Unfortunately, larger proteins fold slower and thus we need more computers to simulate their folding. While the alpha helix folds in 100 nanoseconds, proteins just a little larger fold 100x slower (10 microseconds). Thus, while 10-100 processors were enough to simulate the helix, we will need many more to simulate these larger, more interesting proteins."

find related articles. powered by google. egroups: decentralization Interesting p2p SDK

[ rhetoric ]

Bioinformatics will be at the core of biology in the 21st century. In fields ranging from structural biology to genomics to biomedical imaging, ready access to data and analytical tools are fundamentally changing the way investigators in the life sciences conduct research and approach problems. Complex, computationally intensive biological problems are now being addressed and promise to significantly advance our understanding of biology and medicine. No biological discipline will be unaffected by these technological breakthroughs.


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