CUDALink allows Mathematica to use the CUDA parallel computing architecture on Graphical Processing Units (GPUs). It contains functions that use CUDA-enabled GPUs to boost ...

Mathematica's extensive base of state-of-the-art algorithms, efficient handling of very long integers, and powerful built-in language make it uniquely suited to both research ...

Parallel kernels do not have access to the values of variables defined in the master kernel, nor do they have access to locally defined functions. Mathematica contains a ...

Asynchronous is an option for WolframAlpha that determines whether to use the asynchronous features of the Wolfram|Alpha API.

InitializationCell is an option for Cell that specifies whether the cell should be tagged to be evaluated by the Mathematica kernel when the notebook that contains it is ...

RuntimeAttributes is an option for Compile that specifies attributes for the compiled function it creates.

Mathematica 6.0 represented a major new level in Mathematica's distinguished twenty-year history of broad cutting-edge algorithm development. Mathematica's unified ...

Mathematica 7 represents another major achievement in Mathematica's long history of innovation in mathematics and algorithms. Building on the broad capabilities of ...

Lists are very important and general structures in Mathematica. They allow you to treat collections of all kinds of objects as a single entity. There are many ways to ...

A remote kernel in use may fail at any time, due to hardware, network, or software problems. A failure of a remote kernel will be noticed the next time Parallel Computing ...