Pfz
10-11-2007, 02:31 PM
Well in fact it`s medical science(HeHe)
Just 1 think aint sure it works with nvidia cards no harm in trying
Stream Computing with ATI Radeon products Drive Bio-Medical Research at Stanford University
Today AMD’s ATI Radeon graphics processors help accelerate complex computations in stream computing applications used in scientific research. AMD is supporting bio-medical research to help scientists understand disease at the genetic level. With a strong understanding of how diseases form, it will become possible to develop diagnostic methods, and preventative treatment and medicine for many acute diseases in humans.
Stanford University is using ATI Radeon GPUs (Graphics Processor Units) to run Folding@Home, a distributed computing project designed by its chemistry department. This application performs computationally intensive simulations of protein folding, using the stream computing capabilities of ATI Radeon X1950, X1900, X1800, X1650, and X1600 Series processors, which provide incremental power over CPU processing.
Folding@Home will help researchers uncover how certain diseases develop, including:
Cancer
Alzheimer's Disease
Parkinson's Disease
Huntington's Disease
Osteogenesis Imperfecta
Stanford University’s research team discovered that AMD’s ATI Radeon X1950, X1900, X1800, X1650, and X1600 Series of products provide 20 to 40 times faster processing over CPUs in many of the calculations needed to simulate the folding of proteins.
What is Protein Folding
Proteins are necklaces of amino acids – long chain molecules that drive all biochemical reactions in the human body, helping to build bones, muscles and blood vessels, and helping the body fight infections. To accomplish these tasks, proteins must take on a particular shape, or, to “fold”. Proteins that fold incorrectly can cause complications and can lead to critical diseases. Folding@Home simulates the folding process to understand why proteins don’t fold correctly. The findings will help researchers prevent and cure these diseases.
You Can Help Find the Cure
Folding@home uses distributed computing to simulate protein folding – instead of using super computers, the workload is broken up into small work units and distributed across 100,000’s of PC systems over the internet. When users throughout the world download and run the application they directly contribute to a good cause through the power of their ATI Radeon graphics processor. The GPU version of the application uses the processing power of end users’ ATI Radeon GPUs to accelerate the simulation and provide data to Stanford’s researchers faster.
Every new PC that runs the application gets us closer to the cure.
You can help by simply downloading and running the Folding@Home application developed by Stanford University. The application is free and secure. It will run in the background, making use of spare GPU capacity in your PC, without impacting the performance of your other applications.
Follow these easy steps to help find the cure:
Download the latest available Catalyst software suite
Download the Folding@Home GPU client application (either console or GUI version)
Enter the ATI team number 51394
Full information can be found here http://ati.amd.com/technology/...computing/folding.html
Even if you dont have a supported GPU, you can still join our team using your CPU (or even your PS3).
Our team statistics http://folding.extremeovercloc...summary.php?s=&t=51394
Dont need to do it but atleast think about it.... I`ve Emailed a university in the UK to see if they have a similar scheme going over here so fingerscrossed!!!!
Just 1 think aint sure it works with nvidia cards no harm in trying
Stream Computing with ATI Radeon products Drive Bio-Medical Research at Stanford University
Today AMD’s ATI Radeon graphics processors help accelerate complex computations in stream computing applications used in scientific research. AMD is supporting bio-medical research to help scientists understand disease at the genetic level. With a strong understanding of how diseases form, it will become possible to develop diagnostic methods, and preventative treatment and medicine for many acute diseases in humans.
Stanford University is using ATI Radeon GPUs (Graphics Processor Units) to run Folding@Home, a distributed computing project designed by its chemistry department. This application performs computationally intensive simulations of protein folding, using the stream computing capabilities of ATI Radeon X1950, X1900, X1800, X1650, and X1600 Series processors, which provide incremental power over CPU processing.
Folding@Home will help researchers uncover how certain diseases develop, including:
Cancer
Alzheimer's Disease
Parkinson's Disease
Huntington's Disease
Osteogenesis Imperfecta
Stanford University’s research team discovered that AMD’s ATI Radeon X1950, X1900, X1800, X1650, and X1600 Series of products provide 20 to 40 times faster processing over CPUs in many of the calculations needed to simulate the folding of proteins.
What is Protein Folding
Proteins are necklaces of amino acids – long chain molecules that drive all biochemical reactions in the human body, helping to build bones, muscles and blood vessels, and helping the body fight infections. To accomplish these tasks, proteins must take on a particular shape, or, to “fold”. Proteins that fold incorrectly can cause complications and can lead to critical diseases. Folding@Home simulates the folding process to understand why proteins don’t fold correctly. The findings will help researchers prevent and cure these diseases.
You Can Help Find the Cure
Folding@home uses distributed computing to simulate protein folding – instead of using super computers, the workload is broken up into small work units and distributed across 100,000’s of PC systems over the internet. When users throughout the world download and run the application they directly contribute to a good cause through the power of their ATI Radeon graphics processor. The GPU version of the application uses the processing power of end users’ ATI Radeon GPUs to accelerate the simulation and provide data to Stanford’s researchers faster.
Every new PC that runs the application gets us closer to the cure.
You can help by simply downloading and running the Folding@Home application developed by Stanford University. The application is free and secure. It will run in the background, making use of spare GPU capacity in your PC, without impacting the performance of your other applications.
Follow these easy steps to help find the cure:
Download the latest available Catalyst software suite
Download the Folding@Home GPU client application (either console or GUI version)
Enter the ATI team number 51394
Full information can be found here http://ati.amd.com/technology/...computing/folding.html
Even if you dont have a supported GPU, you can still join our team using your CPU (or even your PS3).
Our team statistics http://folding.extremeovercloc...summary.php?s=&t=51394
Dont need to do it but atleast think about it.... I`ve Emailed a university in the UK to see if they have a similar scheme going over here so fingerscrossed!!!!