The Julia manual nicely makes the case for pre-allocating outputs: https://docs.julialang.org/en/latest/manual/performance-tips/#Pre-allocating-outputs-1 Yet the function diff that is used extensively in scientific computing seems not to have a corresponding diff!. I searched and could not find o…

You might find this package of interest [image] [ANN]: StaticKernels.jl - Fast Kernel Operations on Arrays Package Announcements StaticKernels.jl is a new package that aims to enable easy and fast execution of kernel operations on arrays, e.g. finite difference…

Thanks so much for the pointer to that package! I updated my version to use @inbounds and then added a comparison and found that StaticKernels and my “diff specific” code had essentially identical compute times. That is a testament to the efficiency of the more general approach in StaticKernels h…

Diff! (in-place or preallocated output version of diff)

General Usage Performance

baggepinnen June 23, 2020, 6:22pm 2

You might find this package of interest

Topic		Replies	Views
[ANN]: StaticKernels.jl - Fast Kernel Operations on Arrays Package Announcements	24	2875	April 27, 2020
ForwardDiff with Matrix of Vector as input argument Specific Domains question	37	453	October 17, 2024
Implementing finite difference with periodic B.C Performance diffeq , differentiation , pde , function , finitediff	9	2800	November 30, 2020
Matrix Free Differentiation General Usage cartesianindices	7	937	December 6, 2023
Efficient way to chain a series of `diff` calls Performance performance , composition	11	439	July 16, 2022

Diff! (in-place or preallocated output version of diff)

Related topics