At 03:34 PM 7/18/2007, Jon Forrest wrote:
Toon Knapen wrote:
http://www.nvidia.com/object/tesla_computing_solutions.html
Anyone can point me to more information about the 'thread execution
manager' and how threads can enable getting optimal performance out
of this hardware ?
This is a good question. When word first came out about using GPUs
for regular computation I sent a message to comp.arch (which is pretty
much a wasteland these days) asking how jobs were going to be
scheduled on a GPU. Nobody knew. I would think this would be
especially important if the same GPU were going to be used
for graphics display and HPC computations. Even if it would only
be used for HPC computations its resources will have to be scheduled
one day. Maybe it could be scheduled as a asymetric MP, which
certain tasks, e.g. the graphics and HPC tasks, having affinity to
the GPU.
At this stage of the game, I suspect they're handling it as a
dedicated coprocessor box, much like the old FPS array processing
boxes did. One task uses the box at a time, and it's explicitly
managed by the user (or the user program).
I don't know that they support, say, 2 simultaneous accelerated
processes at once.
Heck, it's a pretty big deal for them to provide moderately
straightforward library access in the first place, as opposed to
trying to cast your computational problems in terms of graphics primitives.
James Lux, P.E.
Spacecraft Radio Frequency Subsystems Group
Flight Communications Systems Section
Jet Propulsion Laboratory, Mail Stop 161-213
4800 Oak Grove Drive
Pasadena CA 91109
tel: (818)354-2075
fax: (818)393-6875
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