This section is designed to discuss how to make compiled functions run efficiently. It will cover features that make them run faster, as well as problems that can make them ...
ParallelArray[f, n] generates in parallel a list of length n, with elements f[i], evaluated.ParallelArray[f, {n_1, n_2, ...}] generates in parallel an n_1*n_2*... array of ...
ParallelDo[expr, {i_max}] evaluates expr in parallel i_max times. ParallelDo[expr, {i, i_max}] evaluates expr in parallel with the variable i successively taking on the ...
Parallelize[expr] evaluates expr using automatic parallelization.
Radon
(Built-in Mathematica Symbol) Radon[image] gives an image representing the discrete Radon transform of image.Radon[image, {w, h}] specifies the width w and the height h of the resulting image.Radon[image, ...
The Mathematica compiler can run computations in parallel. It does this by threading a compiled function over lists of data in parallel. A first step is to create a compiled ...
This package contains functions for measuring the performance of Mathematica on your computer and for producing a comparison report that includes benchmark results for other ...
ImageHistogram[image] plots a histogram of the pixel levels for each channel in image.ImageHistogram[image, n] uses n levels for each channel.ImageHistogram[image, n, {min, ...
InverseContinuousWaveletTransform[cwd] gives the inverse continuous wavelet transform of a ContinuousWaveletData object cwd. InverseContinuousWaveletTransform[cwd, wave] ...
CloseKernels[] terminates all parallel kernels from the list Kernels[].CloseKernels[k] terminates the kernel k.CloseKernels[{k_1, k_2, ...}] terminates the kernels k_1, k_2, ...