The MATLAB Blog
Practical Advice for People on the Leading Edge

Posts 1 - 10 of 11

結果: performance

Direct submission to HPC clusters from MATLAB

著者 Mike Croucher, May 19, 2023

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 >>

カテゴリ:: High Performance Computing,; performance

From HPC consultancy to a faster fzero function in MATLAB R2023a 8

著者 Mike Croucher, May 15, 2023

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 >>

カテゴリ:: High Performance Computing,; New Features,; performance

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

著者 Mike Croucher, May 5, 2023

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 >>

カテゴリ:: Big Data,; Data Science,; Open Source,; performance

Function handles are faster in MATLAB R2023a 7

著者 Mike Croucher, March 16, 2023

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 >>

カテゴリ:: New Features,; ode,; Optimization,; performance

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

著者 Mike Croucher, December 20, 2022

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 >>

カテゴリ:: Big Data,; High Performance Computing,; performance,; Tall arrays

Playing with the R2022b MATLAB Apple Silicon beta for M1/M2 Mac 6

著者 Mike Croucher, December 8, 2022

Since the release of the first MATLAB beta for Apple Silicon, MathWorkers have been toiling away to bring more of the MATLAB experience to this platform and I'm very happy to be able to announce... 続きを読む >>

カテゴリ:: Apple,; performance

MATLAB’s High Performance Computing (HPC) and ‘Big Data’ datatypes 5

著者 Mike Croucher, November 7, 2022

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 >>

カテゴリ:: High Performance Computing,; MATLAB Programming Language,; performance

Linear Algebra in MATLAB: Trying out AMD’s AOCL 7

著者 Mike Croucher, July 13, 2022

In R2022a, MathWorks started shipping AMD’s AOCL alongside Intel’s MKL in MATLAB. This article explains what these are and why you might care about them. BLAS and LAPACK A lot of modern technical... 続きを読む >>

カテゴリ:: linear algebra,; New Features,; performance

How to make a GPU version of this MATLAB program by changing two lines 1

著者 Mike Croucher, May 19, 2022

In his article, A short game of Life, Steve Eddins showed us the following few lines of code that impemented Conway's game of life. Steve's version used a 750 x 750 gameboard whereas mine is using... 続きを読む >>

カテゴリ:: GPU,; MATLAB Programming Language,; performance

Finding if all elements of a matrix are finite, fast! 2

著者 Mike Croucher, May 12, 2022

Today, I'm going to focus on three new functions that were added to the MATLAB programming language in R2022a: allfinite, anynan and anymissing. These functions are more concise, and usually faster,... 続きを読む >>

カテゴリ:: MATLAB Programming Language,; New Features,; performance

Posts 1 - 10 of 11

結果: performance

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