CUDA Reviews

Scientific Computing World

Although we're excited about the power of dual- and quad-core CPUs, consider the potential of an integrated circuit with many hundreds of cores – and these are already in your desktop or laptop PC in the form of a GPU, intended to accelerate graphics processing. In addition, board-level GPU products are becoming available as are preconfigured 'personal supercomputers'.

RISK Magazine

When Sony launched its Playstation 2 games console in 2000, its graphics processor chip was so powerful that the Japanese government classified it as a weapon. Modern graphics processing units (GPUs) are orders of magnitude more capable than conventional computer processors - and may open the door to faster modelling of complex, long-dated derivatives. The highest performance GPUs, like the NVIDIA Tesla chip, manufactured for specialist applications such as climate modelling and astrophysics, are faster yet, running at several hundred gigaflops.

Custom PC

Nvidia's director of product management for PhysX, Nadeem Mohammad, agrees,telling Custom PC that 'all the simple, complex operations' involved with path finding and collision detection 'are all very repetitive, so path finding is one of the algorithms which does work very well on CUDA.'

Techradar

Nvidia and AMD are working with games and middleware developers to take the most common AI routines - 90 per cent of the time these perform simple visibility and path finding queries – away from the CPU and across to the graphics card to process instead.

Kotaku

Once was a time a graphics card handled just that. Graphics. But these days? Nvidia cards already handle physics processing, and by next year both Nvidia and ATI cards might handling AI as well.
This doesn't mean higher prices for new gfx cards, this means that older gfx cards will still be of use. My 9800 GT will turn into a PhysX card after my next hardware upgrade.
Do you remember what the first 3D games looked like and how long it took the industry to actually make them look better than a bunch of glowing boxes? Well, we're seeing the same evolutionary steps happen right now with Physics, AI, and other new aspects of gaming.

Develop

Award: Number 4 in Top 10 Trends for 2009

Graphics Processing Units have become just as powerful as CPUs and highly parallel tasks such as simulation and rendering can be offloaded to the GPU or even multiple GPUs. NVIDIA is leading the charge with its CUDA programming language. Adobe delivered the first mainstream application of GPGPU last year with video encoding in CS4. Expect to see some developments in the CAD/CAM/CAE sector this year.