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Esteban,
We have experience in using NVIDIA Cuda cards in software development
projects in other areas, like computed tomography. At least in our case,
for our projects, you HAVE to use NVIDIA because they are the only ones that
are CUDA compatible. CUDA is the language used to program the cards that
gives them the "parallel processing" capability. At least in our case, for
our projects, we automatically detect if the NVIDIA card is there and if it
is CUDA compatible. Then, if so, we execute the algorithms on the cards
rather than the CPU. If any other card is there, besides and NVIDIA CUDA
card, then we execute the algorithms on the slower CPU. I can't speak for
the Media Cybernetics product, but I would guess (not really knowing) that
they must do soething along those lines. If so, you would only get the
speed advantage with an NVIDIA CUDA compatible card. Other cards, like ATI
Radeon, have their own languages they use fore speeding up graphics which
are not CUDA. That's why they don't work for CUDA programs.
I am not working for Media Cybernetics, and I do not know if this would be
their official answer from their support group. I am guessing what the
answer would be based on our experience using CUDA and NVIDIA cards in other
projects.
Tim Holmes, D.Sc.
CEO
Lickenbrock Technologies, LLC
-----Original Message-----
From: Confocal Microscopy List [mailto:[log in to unmask]] On
Behalf Of G. Esteban Fernandez
Sent: Tuesday, March 27, 2012 11:20 AM
To: [log in to unmask]
Subject: Grfx cards for AutoQuant/AutoDeblur
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Hi all,
I'm purchasing a new computer to be used for deconvolving confocal data with
Media Cybernetics's AutoQuant/AutoDeblur software (ver.
X1.4.1 maybe upgrading to X3). I know MediaCy recommends NVIDIA graphics
cards for their CUDA parallel processing ability but my computer people want
to purchase a different card, ostensibly because we get a deal on the
particular brand they want. The card (GIGABYTE
GV-R797D5-3GD-B) does have parallel processors but they're not branded as
CUDA, I don't know enough to determine if that makes a difference; it does
support openGL. I'd appreciate it if people would share their experiences
running AutoDeblur with non-NVIDIA (non-CUDA) cards.
Thanks,
Esteban
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