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MATLAB Compiler

Latest Releases

R2016b (Version 6.3) - 14 Sep 2016

Version 6.3, part of Release 2016b, includes the following enhancements:

  • Deployment of MATLAB Applications with Tall Arrays Against Apache Spark: Run MATLAB applications that use tall arrays as standalone applications against a Spark enabled cluster
  • Deployment of MATLAB Applications against Apache Spark: Run MATLAB applications as standalone applications against a Spark enabled cluster using the MATLAB API for Spark
  • Neural Network Training Models: Deploy Neural Network Toolbox functions that train a model

See the Release Notes for details.

R2016a (Version 6.2) - 3 Mar 2016

Version 6.2, part of Release 2016a, includes the following enhancements:

  • MATLAB Runtime Size: Smaller MATLAB Runtime footprint when deploying numerical applications without graphics or MATLAB user interfaces

See the Release Notes for details.

R2015aSP1 (Version 6.0.1) - 14 Oct 2015

Version 6.0.1, part of Release 2015aSP1, includes bug fixes.

See the Release Notes for details.

R2015b (Version 6.1) - 3 Sep 2015

Version 6.1, part of Release 2015b, includes the following enhancements:

  • 32-bit Excel Add-In Compatibility: Create Excel add-ins in a 64-bit MATLAB that are capable of running in 32-bit Microsoft Office.
  • Hadoop Support for ImageDatastore: Deploy Hadoop packages with data imported from image collections that are too large to fit in memory​

See the Release Notes for details.

R2015a (Version 6.0) - 5 Mar 2015

Version 6.0, part of Release 2015a, includes the following enhancements:

  • MATLAB Compiler and builders repackaged as MATLAB Compiler and MATLAB Compiler SDK
  • Generation of an application-specific MATLAB Runtime based on requirements for numeric, graphic, and GPU support
  • MATLAB Compiler support for MATLAB objects for Hadoop integration

See the Release Notes for details.

R2014b (Version 5.2) - 2 Oct 2014

Version 5.2, part of Release 2014b, includes the following enhancements:

  • Deployable applications and libraries for Hadoop using MATLAB MapReduce

See the Release Notes for details.