NVIDIA CUDA TECHNOLOGY

Compute Unified Device Architecture (CUDA). CUDA is NVIDIA’s parallel computing architecture. It enables dramatic increases in computing performance by harnessing the power of the GPU. CUDA calculation engine is slower than Nvidia (GPU), which is available for software developers through changes in industry standard programming languages. Programmers use the 'C for CUDA' (C with Nvidia extensions and certain restrictions), compiled Pathscale Open64 C compiler, code algorithms for execution by the GPU.

With CUDA, NVIDIA's latest GPUs will be available to support that processor. Unlike processors GPU architecture but parallel streams focusing on running multiple concurrent threads slowly, rather than performing a single thread very quickly. This approach to solving problems in general purpose GPU are known as GPGPU. In the gaming industry, in addition to graphics rendering engine is used in the calculations GPU physics games (physical effects like debris, smoke, fire, liquid); examples PhysX and Bullet. CUDA has also been used to accelerate non-graphic applications in computational biology, cryptography and other fields by an order of magnitude or more.