: MathWorks generally recommended at least 4GB of RAM per worker for parallel tasks. Release Notes for MATLAB - MathWorks
: While R2021b ran on Apple Silicon (M1) via Rosetta 2, native support for core matrix operations was still developing at that time. MathWorks MATLAB R2021b v9.11.0.1809720 Update ...
: Parallel Computing Toolbox expanded its "parallel language" features, allowing users to use parfeval and related functions in serial mode even without the toolbox, making code more portable. : MathWorks generally recommended at least 4GB of
: New functions like trenddecomp for finding trends in data were added, alongside high-order Runge-Kutta solvers ( ode78 and ode89 ) for differential equations. Toolbox Highlights : New functions like trenddecomp for finding trends
: Key updates included improved code efficiency through Prelookup block merging and new Model Testing Dashboards for tracking artifact compliance. Technical Specifications
: The introduction of the BackgroundPool function allowed users to run MATLAB functions on background threads without blocking the main session.
: A major highlight was the redesigned MATLAB Home page , providing quicker access to recent files and training resources. The Editor also introduced new capabilities for code refactoring and block editing.