: 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.
is a significant update released by MathWorks that introduced foundational performance improvements, enhanced Python interoperability, and expanded parallel computing capabilities. While "v9.11.0.1809720" refers to the core build of the R2021b release, subsequent updates focused primarily on stability and minor bug fixes. Core Platform Enhancements
: R2021b significantly improved the Python interface, enabling smoother execution of Python commands and scripts directly from the MATLAB command line. MathWorks MATLAB R2021b v9.11.0.1809720 Update ...
: The introduction of the BackgroundPool function allowed users to run MATLAB functions on background threads without blocking the main session.
: MathWorks generally recommended at least 4GB of RAM per worker for parallel tasks. Release Notes for MATLAB - MathWorks Release Notes for MATLAB - MathWorks : A
: 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.
: While R2021b ran on Apple Silicon (M1) via Rosetta 2, native support for core matrix operations was still developing at that time. enhanced Python interoperability
: Key updates included improved code efficiency through Prelookup block merging and new Model Testing Dashboards for tracking artifact compliance. Technical Specifications