Parallel Computing with MATLABMATLAB Beyond the Desktop Series
Overview
Using the Parallel Computing capabilities in MATLAB allows users to take advantage of additional hardware resources that may be available either locally on their desktop or on clusters, clouds, and grids. By using more hardware, you can reduce the cycle time for your workflow and solve computationally and data-intensive problems faster. In this seminar, we will discuss a range of workflows available to scale MATLAB applications with minimal changes to your MATLAB code and without needing to learn low-level programming.
Highlights
- Scaling up to utilize clusters, grids and clouds
- Utilizing tall and distributed arrays to work with large data sets
- Offloading existing applications to clusters and clouds to free-up desktop resources
- Improving efficiency of parameter sweeps and Monte Carlo runs
- Using parallel computing with Simulink to speed up simulations
- Using MATLAB for GPU computing
Who Should Attend
MATLAB and Simulink users looking to leverage parallelization and hardware to speed up their algorithms.
Product Focus
This event is part of a series of related topics. View the full list of events in this series.
