Mathematica 8 harnesses GPU devices for general computations using CUDA and OpenCL, delivering dramatic performance gains. A range of Mathematica 8 GPU-enhanced functions are built-in for areas such as linear algebra, image processing, financial simulation, and Fourier transforms. Also included is a framework for building and loading CUDA or OpenCL programs into the Mathematica kernel. Mathematica 8 offers the most comprehensive and easy to use high-level interface to GPU programming and computation on the market today.

• Integrated as a built-in core component of Mathematica. »
• Hand-optimized GPU functions for linear algebra, financial computation, and image processing. »
• Load user-defined CUDA and OpenCL programs, binaries, or libraries. »
• Platform-independent way to compile CUDA and OpenCL programs. »
• Symbolically generate CUDA or OpenCL programs. »
• Easy setup, using Mathematica's paclet system to get required user software. »
• OpenCLLink support for both NVIDIA and ATI hardware. »
• Compatibility with CUDA compute architectures 1.0 to 2.0 with support for both double and single precision. »
• CUDALink and OpenCLLink scale to utilize all GPUs on the system. »
• Use CUDALink or OpenCLLink over the network using remote kernels.
• Scale CUDALink or OpenCLLink over multiple machines using gridMathematica »
• Built on Mathematica 8 technologies: LibraryLink, CCompilerDriver, and SymbolicC. »

Query CUDA and OpenCL Device Information »	Use Mathematica's Extensive Import and Export Functionality »	GPU Enhanced Image Processing Functionality »
GPU Enhanced Fast Fourier Transforms »	Integration with Built-in Mathematica Functions »	GPU Enhanced Linear Algebra »
GPU Enhanced Financial Computation »	Simulate Thousands of Particles in Real Time »	Integration with Dynamic »
Integration with Manipulate »	Do Real-Time Volumetric Rendering »	Use Symbolic Graphics Primitives to Visualize Results »
Do on-the-Fly Code Generation »	Symbolic Program Generation »	Automatic Single to Double Precision Conversion »
Loaded GPU Programs Behave as Mathematica Functions »	Optimized Launch for Multiple GPU Functions »	Get Information on Loaded Programs »
Interface to CUDA and OpenCL Memory »	Get Information on GPU Memory »	Native Support for CUDA and OpenCL Types »
Extensive Real-World Application Examples »	Multiple Device Support »	Scalable Across Networks »
Symbolically Generate CUDA and OpenCL Programs »	Easy Conversion between CUDA and OpenCL »	Compile CUDA Programs to Library, Executable, PTX, or CUBIN »
Automatic Download and Setup of User Software »	Extensive Documentation »

RELATED FUNCTIONS

CUDAQ  CUDAInformation  CUDAFunction  CUDAFunctionLoad  CUDAFunctionInformation  CUDAErosion  CUDADilation  CUDAFourier  CUDADot  CUDAVolumetricRender  CUDAFluidDynamics  OpenCLQ  OpenCLInformation  OpenCLFunctionLoad  OpenCLFunction  OpenCLFunctionInformation  OpenCLMemoryLoad  OpenCLMemoryUnload  OpenCLMemory  OpenCLMemoryInformation