From the series: Parallel and GPU Computing Tutorials
Harald Brunnhofer, MathWorks
Get an overview of products that support parallel computing and learn about the benefits of parallel computing.
Part 1 Product Landscape Get an overview of parallel computing products used in this tutorial series.
Part 2 Prerequisites and Setting Up Review hardware and product requirements for running the parallel programs demonstrated in Parallel Computing Toolbox™ tutorials.
Part 3 Quick Success with parfor
Review an introductory
example using Parallel Computing Toolbox™.
Part 4 Deeper Insights into Using parfor
-loops, and learn about factors governing the speedup of
-loops using Parallel Computing Toolbox™.
Part 5 Batch Processing
Offload serial and parallel programs using
command, and use the Job Monitor.
Part 6 Scaling to Clusters and Cloud Learn about considerations for using a cluster, creating cluster profiles, and running code on a cluster with MATLAB Distributed Computing Server™.
Part 7 spmd - Parallel Code Beyond parfor Execute code simultaneously on workers, access data on worker workspaces, and exchange data between workers using Parallel Computing Toolbox™ and MATLAB Distributed Computing Server™.
Part 8 Distributed Arrays Perform matrix math on very large matrices using distributed arrays in Parallel Computing Toolbox™.