News & Analysis
Comment
docdivakar
What could be called 'revolutionary' is really the GPGPU adoption -there are ...
the_floating_ gate
Nvidia's road map drives graphics, ARM into enterprise
Rick Merritt
3/19/2013 1:30 PM EDT
Dozens of apps for GPGPUs
Top supercomputers have been adopting GPGPUs for years, and ARM server SoCs are starting to gain limited traction. It’s not clear exactly when the first Project Denver chips will ship, attacking more mainstream computing markets.
Meanwhile, Nvidia’s GTC will showcase dozens of apps for GPGPUs from iRobot vacuum cleaners to cars from Audi, BMW and Chrysler who will have executives speaking at the event.
Among other new business uses, Salesforce.com is using Nvidia chips to analyze Twitter feeds and Shazam uses the chips to run online searches for music. Cortexica Visual Systems has an app that lets consumers take pictures of clothes and find similar items for sale online.
The base of programmers enabled to use Nvidia’s graphics programming environment is expanding. Continuum Analytics announced NumbaPro, a Python compiler for Cuda in the new Anaconda Accelerate suite.
Nvidia claims the software opens the door to as many as 50,000 new Python programmers trained and able to use Cuda within five months, thanks to new online courses.
Observers say Nvidia’s Cuda currently has the lead in the emerging GPGPU field due to its maturity. Nvidia early on seeded universities with classes on Cuda.
Long term, many expect the open source OpenCL environment will dominate the GPGPU field. It is supported by all graphics players including AMD and Intel as well as Nvidia, but it not yet nearly as mature or widely used.
Related stories:
Top supercomputers have been adopting GPGPUs for years, and ARM server SoCs are starting to gain limited traction. It’s not clear exactly when the first Project Denver chips will ship, attacking more mainstream computing markets.
Meanwhile, Nvidia’s GTC will showcase dozens of apps for GPGPUs from iRobot vacuum cleaners to cars from Audi, BMW and Chrysler who will have executives speaking at the event.
Among other new business uses, Salesforce.com is using Nvidia chips to analyze Twitter feeds and Shazam uses the chips to run online searches for music. Cortexica Visual Systems has an app that lets consumers take pictures of clothes and find similar items for sale online.
The base of programmers enabled to use Nvidia’s graphics programming environment is expanding. Continuum Analytics announced NumbaPro, a Python compiler for Cuda in the new Anaconda Accelerate suite.
Nvidia claims the software opens the door to as many as 50,000 new Python programmers trained and able to use Cuda within five months, thanks to new online courses.
Observers say Nvidia’s Cuda currently has the lead in the emerging GPGPU field due to its maturity. Nvidia early on seeded universities with classes on Cuda.
Long term, many expect the open source OpenCL environment will dominate the GPGPU field. It is supported by all graphics players including AMD and Intel as well as Nvidia, but it not yet nearly as mature or widely used.
Related stories:
|
|
|
|
|
Navigate to related information
Bentaru
3/20/2013 6:02 PM EDT
Nothing revolutionary here really!
Sign in to Reply
docdivakar
3/22/2013 8:21 PM EDT
What could be called 'revolutionary' is really the GPGPU adoption -there are upwards of 430M CUDA-capable GPGPUs! The growth in CAD/CAE markets for GPGPUs is can be expected to double this year.
MP Divakar
Sign in to Reply
rick.merritt
3/20/2013 7:08 PM EDT
If you want to see the whole keynote it is at https://www.youtube.com/playlist?list=PLZHnYvH1qtOY0ZrWQgnQlj4dwGZ1pVgoj
Sign in to Reply
the_floating_ gate
3/22/2013 3:00 AM EDT
Looks like the latest GPU roadmap ends at 2014 ....
was he afraid to put a date down?
Sign in to Reply