Because GPUs are SIMD machines, to exploit CUDA's potential you must pose the problem in an SIMD manner. Computation that can be partitioned in such a way that each thread ...
ComponentMeasurements[m, " prop"] computes the values of property prop for each component of a label matrix m that consists of identical elements.ComponentMeasurements[image, ...
CramerVonMisesTest[data] tests whether data is normally distributed using the Cramér\[Dash]von Mises test.CramerVonMisesTest[data, dist] tests whether data is distributed ...
Mathematica has over 3000 built-in functions and other objects, all based on a single unified framework, and all carefully designed to work together, both in simple ...
KernelMixtureDistribution[{x_1, x_2, ...}] represents a kernel mixture distribution based on the data values x_i.KernelMixtureDistribution[{{x_1, y_1, ...}, {x_2, y_2, ...}, ...
CUDAFunctionLoad[src, fun, argtypes, blockdim] loads CUDAFunction from scr and makes fun available in Mathematica.CUDAFunctionLoad[{srcfile}, fun, argtypes, blockdim] loads ...