CUDA and OpenCL Support
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. »