MATLAB R2025a has some great news for Apple Silicon Mac users: Apple Accelerate is the default BLAS. Since Apple Accelerate makes use of various hardware features in Apple Silicon CPUs, this means... 더 읽어보기 >>

Sparse matrices have been in MATLAB for a long time but, up until now, the only types of sparse matrices you could create were double or logical sparse matrices.This is no longer the case and one of... 더 읽어보기 >>

While browsing MATLAB Answers today, I stumbled across a discussion about the fastest way to solve small linear systems in MATLAB. As a performance-geek, I usually obsess over very large matrices but... 더 읽어보기 >>

I recently stumbled across @yuruyurau, a computational artist on X.com, who posts code snippets in a language called Processing. The results are beautiful, organic-looking animations such as this... 더 읽어보기 >>

As the first version following MathWorks' 40th anniversary in 2024, MATLAB R2025a is probably the biggest release I've ever experienced as both a user and a MathWorker. The breadth and depth of... 더 읽어보기 >>

Give ThreadPool a tryIf you have some parallel MATLAB code and want to try something that may make it go faster then I suggest opening your Parallel pool as follows before running your... 더 읽어보기 >>

While prepping for the SC24 supercomputing conference with the rest of the MathWorks crew I idly wondered when Parallel Computing Toolbox was first released. Jos Martin, one of the original authors... 더 읽어보기 >>

What is linear programming?Linear programming (LP) is a mathematical method used to determine the best possible outcome (such as maximum profit or lowest cost) in a mathematical model whose... 더 읽어보기 >>

GPU support in MATLAB started in R2010bBack in R2010b, the first GPU enabled functions were made available in MATLAB via Parallel Computing Toolbox. The idea was then, as it is now, to overload... 더 읽어보기 >>

I think that MATLAB is a great platform on which to do High Performance Computing (HPC) and take any opportunity I can to teach or demonstrate this. Such an opportunity came up recently when I was... 더 읽어보기 >>