Udemy
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
  •  
Development
Web Development Data Science Mobile Development Programming Languages Game Development Database Design & Development Software Testing Software Engineering Software Development Tools No-Code Development
Business
Entrepreneurship Communication Management Sales Business Strategy Operations Project Management Business Law Business Analytics & Intelligence Human Resources Industry E-Commerce Media Real Estate Other Business
Finance & Accounting
Accounting & Bookkeeping Compliance Cryptocurrency & Blockchain Economics Finance Finance Cert & Exam Prep Financial Modeling & Analysis Investing & Trading Money Management Tools Taxes Other Finance & Accounting
IT & Software
IT Certifications Network & Security Hardware Operating Systems & Servers Other IT & Software
Office Productivity
Microsoft Apple Google SAP Oracle Other Office Productivity
Personal Development
Personal Transformation Personal Productivity Leadership Career Development Parenting & Relationships Happiness Esoteric Practices Religion & Spirituality Personal Brand Building Creativity Influence Self Esteem & Confidence Stress Management Memory & Study Skills Motivation Other Personal Development
Design
Web Design Graphic Design & Illustration Design Tools User Experience Design Game Design 3D & Animation Fashion Design Architectural Design Interior Design Other Design
Marketing
Digital Marketing Search Engine Optimization Social Media Marketing Branding Marketing Fundamentals Marketing Analytics & Automation Public Relations Paid Advertising Video & Mobile Marketing Content Marketing Growth Hacking Affiliate Marketing Product Marketing Other Marketing
Lifestyle
Arts & Crafts Beauty & Makeup Esoteric Practices Food & Beverage Gaming Home Improvement & Gardening Pet Care & Training Travel Other Lifestyle
Photography & Video
Digital Photography Photography Portrait Photography Photography Tools Commercial Photography Video Design Other Photography & Video
Health & Fitness
Fitness General Health Sports Nutrition & Diet Yoga Mental Health Martial Arts & Self Defense Safety & First Aid Dance Meditation Other Health & Fitness
Music
Instruments Music Production Music Fundamentals Vocal Music Techniques Music Software Other Music
Teaching & Academics
Engineering Humanities Math Science Online Education Social Science Language Learning Teacher Training Test Prep Other Teaching & Academics
Web Development JavaScript React CSS Angular Node.Js Typescript HTML5 PHP
AWS Certification Microsoft Certification AWS Certified Solutions Architect - Associate AWS Certified Cloud Practitioner CompTIA A+ Amazon AWS Cisco CCNA CompTIA Security+ Microsoft AZ-900
Microsoft Power BI SQL Tableau Data Modeling Business Analysis Data Analysis Data Warehouse Blockchain Business Intelligence
Unity Unreal Engine Game Development Fundamentals C# 3D Game Development C++ Unreal Engine Blueprints 2D Game Development Mobile Game Development
Google Flutter iOS Development Android Development Swift React Native Dart (programming language) Kotlin SwiftUI Mobile App Development
Graphic Design Photoshop Adobe Illustrator Drawing Canva Digital Painting InDesign Design Theory Procreate Digital Illustration App
Life Coach Training Neuro-Linguistic Programming Personal Development Personal Transformation Life Purpose Mindfulness Sound Therapy Emotional Intelligence Coaching
Business Fundamentals Entrepreneurship Fundamentals Freelancing Business Strategy Online Business Startup Business Plan Blogging Amazon Kindle Direct Publishing (KDP)
Digital Marketing Social Media Marketing Marketing Strategy Internet Marketing Copywriting Google Analytics Email Marketing Startup Advertising Strategy

DevelopmentProgramming LanguagesMATLAB

MATLAB Parallel programming on GPUs, Cores and CPUs

With practical examples on every parallel programming concept including training NN and deep learning model
Rating: 5.0 out of 55.0 (2 ratings)
15 students
Created by H Soltan
Last updated 1/2022
English
English [Auto]

What you'll learn

  • Run Deep learning models in parallel on GPUs
  • Learn the difference between cores, CPUs and GPUs
  • Learn the concept of multi-threading in MATLAB with examples
  • Learn the concept of multi-workers in MATLAB with examples
  • measuring the performance of each parallel computing code
  • Learn how to convert your code to parallel computing to increase the performance
  • Run MATLAB files and functions in the background
  • Using GPUs to execute and Run MATLAB functions (Excellent performance)

Requirements

  • MATLAB basics

Description

This course helps students, researchers, and anyone using the MATLAB decrease the execution time they take to execute a program

All computers today and the laptops have multi-cores and GPUs. But not all users use the to run or execute the programs in parallel.

The purpose of the course is to fill this gap. Is to teach you with practical examples how to use all resources on your computer and also how to monitor them.

The course is divided into many sections:

  1. The first is an introduction to the hardware of the CPUs, cores, and GPUs. It is better to understand the basic components of these items to be able to get the best utilization when you use them.

  2. The second section is explaining two concepts. The multi-threading and the multi-workers. The first is a built-in mechanism to run some functions in parallel using many cores but we can't control the number of cores and the way that the functions execute. The second one (multi-workers) is used to run any function on multiple cores but here we can control the number of cores to optimize the program execution. Also, I explained some examples and measured the performance parameters to differentiate between the two concepts.

  3. The third section is the GPU section. In the section, I explained how to run any function on the GPUs to make use of the hundred or thousands of cores that the GPUs have. There are some notations to get the best results and I explained all of these notations with examples.

  4. Deep learning and neural networks: in this section, you will learn how to train any neural network in parallel on GPUs or multi-cores. And also how to run the training process in the background in order to be able to use MATLAB while it is running.

Who this course is for:

  • Students, researchers and engineers

Instructor

H Soltan
Research Assistant
H Soltan
  • 4.2 Instructor Rating
  • 34 Reviews
  • 645 Students
  • 3 Courses

I'm a Ph.D. student. I graduated from the computer and system engineering department in 2012 and I was ranked the second of my class.. Then, I worked as a teaching assistant for about 10 years in the same department. I also finished the master degree in 2019 in the field of aerospace and artificial intelligence. In the master, I built a model the detect the faults in the temperature control sub-system and then predicted a new values instead of the faulty ones. This model helping in discovering automatically some of the faults and the errors that are difficult to be discovered by human experts.

I also worked as embedded system instructor for 5 years.



Top companies choose Udemy Business to build in-demand career skills.
NasdaqVolkswagenBoxNetAppEventbrite
  • Udemy Business
  • Teach on Udemy
  • Get the app
  • About us
  • Contact us
  • Careers
  • Blog
  • Help and Support
  • Affiliate
  • Investors
  • Terms
  • Privacy policy
  • Sitemap
  • Accessibility statement
Udemy
© 2022 Udemy, Inc.