14th March is Pi Day, celebrated by geeks everywhere and a great excuse for technical computing bloggers to publish something tenuously related to pi and their favorite technology of choice. This is... 続きを読む >>
14th March is Pi Day, celebrated by geeks everywhere and a great excuse for technical computing bloggers to publish something tenuously related to pi and their favorite technology of choice. This is... 続きを読む >>
Up to 3.7x faster Matrix-Matrix multiplication, 2x faster LU factorisation, 1.7x faster Cholesky decomposition and the potential for many more speed-ups across different areas of linear algebra in... 続きを読む >>
I was recently working with a researcher who had to sort arrays of double precision numbers thousands of times. In his application, however, he didn't need the full sorted list. He only wanted the... 続きを読む >>
More Compute, More Problems When it comes to High Performance Computing resources, I'm a lucky guy. I've got a fairly decent, 8 core desktop along with guest access to a reasonable number of... 続きを読む >>
Sometime in 2021, I was doing some High Performance Computing (HPC) consultancy with a university in the south of England. This involved various things such as getting the code to scale across... 続きを読む >>
This is a guest post by Onomitra Ghosh who is the Product Manager for MATLAB Data Analysis and Big Data workflows. How big does data need to be before it can be called big? While there is no... 続きを読む >>
Roughly speaking, there are two ways we at MathWorks can speed up MATLAB. We can dive into individual functions to remove overheads, improve algorithms and so on or we can make performance... 続きを読む >>
Today's guest blogger is Harald Brunnhofer, a Principal Training Engineer at MathWorks. On top of getting thousands of users started with MATLAB or taking their MATLAB skills to the next level, he... 続きを読む >>
Update 22nd June 2023: An updated blog post about MATLAB on Apple Silicon can be found at... 続きを読む >>
Table of ContentsgpuArrays - GPU programming made easy dlarray - Specialised objects for Deep Learning training Tall arrays - For when you've got more rows than memory Distributed arrays - Spread... 続きを読む >>