Parallel and Distributed Computing with MATLAB

#Parallel #Computing #Matlab #GPU
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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.

Some of the highlights include:

  • Leveraging multiple cores or CPUs
  • Working with high-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms.
  • Scaling up to utilize clusters, grids and clouds
  • Utilizing tall and distributed arrays to work with large data sets
  • Using MATLAB for GPU computing

  Date and Time

  Location

  Hosts

  Registration


  • Date: 29 Oct 2021
  • Time: 01:00 PM to 02:30 PM
  • All times are (GMT-05:00) Canada/Eastern
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  • Starts 19 October 2021 03:31 PM
  • Ends 29 October 2021 03:00 PM
  • All times are (GMT-05:00) Canada/Eastern
  • No Admission Charge

  Speakers

Dr. Aycan Hacioglu Dr. Aycan Hacioglu of MathWorks

Biography:

Aycan Hacioglu is a Customer Success Engineer at MathWorks. She has a BS in Chemical Engineering from Bogazici University, Turkey and a jointly awarded Ph.D. in Chemical Engineering from the University of Florida and Universite Lille1-Sciences and Technologies, France. Before joining MathWorks, she was an Assistant Teaching Professor at the Chemical Engineering Department of the University of Missouri for 3.5 years. She extensively used MATLAB for fluid dynamics and mass transfer simulations. She is experienced in mathematical modeling, process simulations, numerical methods and perturbation theory. She also integrated MATLAB to separation processes and transport phenomena courses she taught. She is excited to share her experience and passion to use MathWorks products in academia.