Comment Watch video of simulation of this collision (Score 5, Interesting) 217
Starts at around 1:00 on this video with a great explanation of the collision itself.
http://www.youtube.com/watch?v=aByz-mxOXJM&feature=relmfu
Sumit
(NVIDIA employee)
Discrete graphics is going away, they seem to be leaning increasingly towards the HPC market but that is tiny compared to the consumer graphics market that their company was built on. I just don't see it. Anyone?
Discrete GPU market is growing. See JPR's analyst reports http://jonpeddie.com/press-releases/details/embedded-graphics-processors-killing-off-igps-no-threat-to-discrete-gpus/
here is the full report http://jonpeddie.com/download/media/slides/An_Analysis_of_the_GPU_Market.pdf
NASA is also using GPUs -- looks for climate / atmospheric modeling.
The Gordon Bell Prize give at the Supercomputing Conference is effectively the yearly Nobel Prize for computing.
Wikipedia
http://en.wikipedia.org/wiki/Gordon_Bell_Prize
ACM website:
http://awards.acm.org/bell/
There are tons of other CUDA accelerated numerical packages besides Matlab -- Mathematica, LabView, plugins / wrappers / libraries for Python, R, IDL. Some of these are linked from NVIDIA's website
http://www.nvidia.com/object/numerical-packages.html
Others from
http://www.nvidia.com/object/data_mining_analytics_database.html
3 of the Top 5 supercomputers are already using NVIDIA GPUs:
NVIDIA press release
Bill Dally outlined NVIDIA's plans for Exascale computing at Supercomputing in Nov 2010:
Bill Dally Keynote
5 of Top 10 most green supercomputers use GPUs:
Green 500 List
Each GPU is very high performance and so high power. Performance / watt is what counts and
here GPUs beat CPUs by 4 to 5 times. This is why so many of the new supercomputers are using
GPUs / heterogenous computing.
A morsel of genuine history is a thing so rare as to be always valuable. -- Thomas Jefferson