Hi,
Yes it works pretty well. I got one.
|--------------------- INFORMATION ----------------------
| GPU (CUDA) Version of PMEMD in use: NVIDIA GPU IN USE.
| Version 12.2
|
| 01/10/2013
|
.../
|------------------- GPU DEVICE INFO --------------------
|
| CUDA Capable Devices Detected: 1
| CUDA Device ID in use: 0
| CUDA Device Name: GeForce GTX 465
| CUDA Device Global Mem Size: 1023 MB
| CUDA Device Num Multiprocessors: 11
| CUDA Device Core Freq: 1.22 GHz
|
|--------------------------------------------------------
.../
Greeting,
Hector.
On Mon, 11 Mar 2013, John Gehman wrote:
> Dear Amber Fans,
>
> Could anybody confirm whether or not the nVidia GTX 460 chipset should work with Amber12? It's not on the list at http://ambermd.org/gpus/#supported_gpus, which I presume is drawing a distinction between hardware revision/compute capability 2.1 vs 2.0 [e.g. for the GTX 465] per the guideline on that page. However, v2.1 *does* appear to provide double precision, and the GTX560 which *is* OK'd for Amber12 appears to actually be v2.1 as well (ref https://developer.nvidia.com/cuda-gpus).
>
> The problem is that my Amber12 jobs seem to die with no errors or explanation after about 30 ps on my GPU. This has happened for one of my runs, as well as one of the benchmark runs, which run fine (albeit slow, of course) on a single CPU.
>
> I am trying to ascertain whether the GPU is to blame, and if so, whether a GTX560 (Ti) will actually get me going, or not.
>
> Many Thanks!
> John Gehman
> University of Melbourne
>
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>
> "Crooked nails hold better" (JDG, unpublished data)
>
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--
---------------------------------------
Dr. Hector A. Baldoni
Area de Quimica General e Inorganica
Universidad Nacional de San Luis
Chacabuco 917
5700 San Luis - Argentina
hbaldoni.unsl.edu.ar
---------------------------------------
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Received on Mon Mar 11 2013 - 07:30:02 PDT
