CUDA & OpenCL Programming in Wolfram Language
Simplify Access to Performance Computing in Industry and Research
The Wolfram Language combines programming ease-of-use with the computational speed of GPU-equipped hardware to dramatically increases application performance and user productivity.
The Wolfram Language simplifies GPU programming with CUDALink and OpenCLLink—a high-level interface to the GPU built on top of the Wolfram Language's development technologies. They allow you to execute code on your GPU with minimal effort.
By fully integrating and automating the GPU's capabilities using the Wolfram Language, hiding unnecessary complexity associated with GPU programming, and lowering the learning curve for GPU computation, you experience a more productive and efficient development cycle.
Computers that have CUDA or OpenCL support are supported by CUDALink or OpenCLLink with the Wolfram Language. CUDALink and OpenCLLink are supported on Windows (32- and 64-bit), Mac OS X (64-bit), and Linux (32- and 64-bit).
Download our free
or OpenCL white papers to learn more about the Wolfram Language's GPU computing capabilities.