The MATLAB Blog

Practical Advice for People on the Leading Edge

Posts 1 - 10 of 15

다음에 대한 결과: performance

How we made a better backslash in MATLAB R2024a 4

Few things say 'MATLAB' better than the backslash. So good, we put it on a T-shirt.As most people will be aware, the backslash operator solves a system of linear equations. That is, it finds the x... 더 읽어보기 >>

Pi day: Using AI, GPUs and Quantum computing to compute pi

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... 더 읽어보기 >>

Life in the fast lane: Making MATLAB even faster on Apple Silicon with Apple Accelerate 11

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... 더 읽어보기 >>

Partial sorting in MATLAB 5

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... 더 읽어보기 >>

Direct submission to HPC clusters from MATLAB 2

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... 더 읽어보기 >>

From HPC consultancy to a faster fzero function in MATLAB R2023a 9

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... 더 읽어보기 >>

Working efficiently with data: Parquet files and the Needle in a Haystack problem 6

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... 더 읽어보기 >>

Function handles are faster in MATLAB R2023a 7

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... 더 읽어보기 >>

Add two lines to your MATLAB code to make it work with big data

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... 더 읽어보기 >>

Playing with the R2022b MATLAB Apple Silicon beta for M1/M2 Mac 19

Update 22nd June 2023: An updated blog post about MATLAB on Apple Silicon can be found at... 더 읽어보기 >>

Posts 1 - 10 of 15