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Old 12-21-2007, 06:21 PM   #1
TefoZi
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Distro for NVIDIA Tesla S870 GPU Computing System?


Hi,

I'm working on solving protein folding problem and we are doing a lot of calculation. Some of them takes weeks.

We are wondering to buy NVIDIA Tesla S870 GPU Computing System
http://www.nvidia.com/object/tesla_c...solutions.html
http://www2.pny.com/MarketingPromoti.../teslaHPC.aspx

It looks like very powerful server

# Tesla S870 GPU Computing System
* Four GPUs (128 thread processors per GPU)
* 6 GB of system memory (1.5 GB dedicated memory per GPU)
* Standard 19, 1U rack-mount chassis
* Connects to host via cabling to a low power PCI Express x8 or x16 adapter card
* Configuration: 2 PCI Express connectors driving 2 GPUs each (4 GPUs total)

Anybody had an experience with such computers?
What disto I can use with it?

Will appreciate any information.

Thanks
 
Old 12-21-2007, 07:41 PM   #2
Electro
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From what I gathered over months, they are just dedicated processing units. A computer have to be hooked up to them to provide instructions and storage capacity for the GPU to do the work.

Folding@home project is already folding proteins. Also they have created the genome@home project that finds out ways to fold proteins in different ways. I suggest do not re-write the wheel when the wheel has already been invented. I suggest partner with these projects.

The CUDA compiler for the CUDA capable GPU can run in Linux. The compiler is C/C++ based, so programmers do not have to learn a whole new programming language to start. It seems right now the debugger is in its alpha stage, so it might be hard to debug problems. My notebook computer has a CUDA capable GPU and I have not yet started learning the compiler, so I can not help you. Though people at nVidia Forums could help you.
 
Old 12-21-2007, 11:22 PM   #3
TefoZi
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Quote:
Originally Posted by Electro View Post
Folding@home project is already folding proteins. Also they have created the genome@home project that finds out ways to fold proteins in different ways. I suggest do not re-write the wheel when the wheel has already been invented. I suggest partner with these projects.
Yes, we know about such projects like Folding@home, Rosseta@home, etc, because we are like main chain at the protein foldings streams. We are hosting experiment - Critical Assessment of Techniques for Protein Structure Prediction, also known as CASP. http://predictioncenter.org

Quote:
Originally Posted by Electro View Post
From what I gathered over months, they are just dedicated processing units. A computer have to be hooked up to them to provide instructions and storage capacity for the GPU to do the work.

The CUDA compiler for the CUDA capable GPU can run in Linux. The compiler is C/C++ based, so programmers do not have to learn a whole new programming language to start. It seems right now the debugger is in its alpha stage, so it might be hard to debug problems. My notebook computer has a CUDA capable GPU and I have not yet started learning the compiler, so I can not help you. Though people at nVidia Forums could help you.
Thank you for advise. Now I know where to dig.
 
  


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