From: John Stone (johns_at_ks.uiuc.edu)
Date: Thu Mar 04 2010 - 10:32:06 CST

Hi,
  I suspect what is happening there is that the Quadro NVS 295 is
running out of memory. I would suggest excluding it from your pool
of CUDA GPUs. Also, what driver version are you running on your machine?

Cheers,
  John Stone
  vmd_at_ks.uiuc.edu

On Thu, Mar 04, 2010 at 06:29:44PM +0200, Filippo Federici wrote:
> Hi,
> I just tried to plot some isosurfaces of molecular orbitals,
> with a very fine grid. Since the CPU is also very fast
> (Core i7) is hard to tell if there is a performance improvement.
> I still get that error on startup:
>
> Info) Detected 3 available CUDA accelerators:
> Info) [0] Tesla C1060 30 SM_1.3 @ 1.30 GHz, 4095MB RAM, OIO,
> ZCP
> Info) [1] Quadro NVS 295 1 SM_1.1 @ 1.30 GHz, 255MB RAM, KTO
> Info) [2] Tesla C1060 30 SM_1.3 @ 1.30 GHz, 4095MB RAM, OIO,
> ZCP
> Info) Creating CUDA device pool and initializing hardware...
> CUDA error: no CUDA-capable device is available, line 62
>
> so why 2 Tesla C1060 are not CUDA capable devices according to line 62?
>
> thanks
>
> Filippo
>
> On Thu, 2010-03-04 at 08:11 -0600, John Stone wrote:
> > Hi,
> > Only the electrostatics, molecular orbital rendering, and implicit ligand
> > sampling features are accelerated by CUDA in VMD 1.8.7, so those are the
> > only VMD tests that are meaningful for measuring CUDA performance.
> >
> > Try using the commands "volmap coulombmsm", "volmap ils" or the "Orbital"
> > representation, all of these will use CUDA automatically.
> >
> > Please see this page for more information:
> > http://www.ks.uiuc.edu/Research/vmd/vmd-1.8.7/cuda.html
> >
> > Let me know if you have questions.
> >
> > Cheers,
> > John
> >
> >
> >
> > On Thu, Mar 04, 2010 at 09:18:14AM +0200, Filippo Federici wrote:
> > > Good morning,
> > >
> > > we have installed a CUDA workstation and we are done
> > > testing it, but we have some issues with VMD.
> > > I downloaded the binary (LINUX64 CUDA) and apparently
> > > it starts but i see no GPU improvements.
> > > On startup the output tells:
> > >
> > > Info) -------------------------------------------------------------
> > > Info) Multithreading available, 8 CPUs detected.
> > > Info) Free system memory: 5269MB (66%)
> > > Info) Detected 3 available CUDA accelerators:
> > > Info) [0] Tesla C1060 30 SM_1.3 @ 1.30 GHz, 4095MB RAM, OIO,
> > > ZCP
> > > Info) [1] Quadro NVS 295 1 SM_1.1 @ 1.30 GHz, 255MB RAM, KTO
> > > Info) [2] Tesla C1060 30 SM_1.3 @ 1.30 GHz, 4095MB RAM, OIO,
> > > ZCP
> > > Info) Creating CUDA device pool and initializing hardware...
> > > CUDA error: no CUDA-capable device is available, line 62
> > > Warning) Detected X11 'Composite' extension: if incorrect display occurs
> > > Warning) try disabling this optional X server feature.
> > > Info) OpenGL renderer: Quadro NVS 295/PCI/SSE2
> > > Info) Features: STENCIL MSAA(4) MDE CVA MTX NPOT PP PS GLSL(OVF)
> > > Info) Full GLSL rendering mode is available.
> > > Info) Textures: 2-D (8192x8192), 3-D (2048x2048x2048), Multitexture
> > > (4)
> > > vmd > Info) VMD for LINUXAMD64, version 1.8.7 (August 1, 2009)
> > > ---------------------------------------------------------------------
> > > as you can see we have 2 Tesla GPUs and a Quadro NVS 295 for rendering.
> > > The quadro is set to 'prohibited', but I tried to leave it on too with
> > > no luck.
> > > The driver is 190.53, the CUDA SDK samples run correctly, and I can run
> > > some piece of code I wrote with no problem.
> > > Any suggestion?!
> > >
> > > thanks in advance
> > >
> > > Filippo
> > >
> > >
> >

-- 
NIH Resource for Macromolecular Modeling and Bioinformatics
Beckman Institute for Advanced Science and Technology
University of Illinois, 405 N. Mathews Ave, Urbana, IL 61801
Email: johns_at_ks.uiuc.edu                 Phone: 217-244-3349
  WWW: http://www.ks.uiuc.edu/~johns/      Fax: 217-244-6078