Parallel Computing for web access

Overview

For many tasks in computing, iterating through a loop in order is necessary. In a code that calculates the Fibonacci sequence, for example, the previous iteration will undoubtedly affect the present one. However, some computations are wholly independent of the previous computations in a loop. In this instance, parallel computing can help speed up a task and maximize the use of your processors.

In this webinar, we will be using MATLAB to access multiple webpages. Starting from the traditional for loop we will see how to speed up the process using the parfor function in MATLAB.

 

Highlights:

In this webinar, you will learn on how to:

  • Send Web Requests using MATLAB
  • Prepare algorithms for parallel computing in MATLAB

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Speaker

Mr Nestor Daniel Fernandez, Application Engineer

Mr Nestor Daniel Fernandez helps companies and agencies augment their technical computation workflows ranging from financial models to physical systems. He obtained his Master’s Degree in Applied Science from the National University of Kaohsiung, Taiwan after finishing his Bachelor’s Degree in Applied Physics from UP Diliman. His field of expertise covers Instrumentation and Condensed Matter Physics.

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