nVidia CUDA

NVIDIA® CUDA™ technology leverages the massively parallel processing power of NVIDIA GPUs. The CUDA architecture is a revolutionary parallel computing architecture that delivers the performance of NVIDIA’s world-renowned graphics processor technology to general purpose GPU Computing. Applications that run on the CUDA architecture can take advantage of an installed base of over one hundred million CUDA-enabled GPUs in desktop and notebook computers, professional workstations, and supercomputer clusters.

With the CUDA architecture and tools, developers are achieving dramatic speedups in fields such as medical imaging and natural resource exploration, and creating breakthrough applications in areas such as image recognition and real-time HD video playback and encoding. CUDA enables this unprecedented performance via standard APIs such as the soon to be released OpenCL™ and DirectX® Compute, and high level programming languages such as C/C++, Fortran, Java, Python, and the Microsoft .NET Framework.

The CUDA Developer SDK provides examples with source code to help you get started with CUDA. Examples include:

• Parallel bitonic sort
• Matrix multiplication
• Matrix transpose
• Performance profiling using timers
• Parallel prefix sum (scan) of large arrays
• Image convolution
• 1D DWT using Haar wavelet
• OpenGL and Direct3D graphics interoperation examples
• CUDA BLAS and FFT library usage examples
• CPU-GPU C- and C++-code integration
• Binomial Option Pricing
• Black-Scholes Option Pricing
• Monte-Carlo Option Pricing
• Parallel Mersenne Twister (random number generation)
• Parallel Histogram
• Image Denoising
• Sobel Edge Detection Filter