• Convert serial applications to parallel using simple annotations such as parfor .
  • Run simulations in parallel on a multicore desktop. Parameter values for an aileron control system are tested in multiple simulations executed simultaneously.
  • Run your multiple simulations faster through the use of parallel computing.
  • Improve performance for design optimization tasks using features like Simulink
  • Implement MapReduce workflows in different MATLAB ® environments including desktop, multicore, and Hadoop.
  • Handle problems with large memory requirements using spmd and distributed arrays.
  • Use batch processing commands to set up offline execution for parallel MATLAB ® applications.
  • System Administrators will learn how MATLAB Distributed Computing Server™ can benefit their users, and how it fits with their existing software and hardware cluster environment.
  • This video will demonstrate the steps to download, install, activate, and configure MATLAB Distributed Computing Server™ using MATLAB ® Job Scheduler.