Introduction to Parallelism for Complete Beginners

Introduction to Parallelism for Complete Beginners, available at Free, has an average rating of 4.5, with 9 lectures, based on 1 reviews, and has 1163 subscribers.

You will learn about Develop essential level skills of Parallel Computing Programming Task Decomposition and Task Dependency Graph Parallelism fundamentals: speedup, task dependency graph, overheads, critical path, scalability, etc. Get fast and friendly support in the Q&A area This course is ideal for individuals who are Anyone looking to build a strong career in computer science or engineering through Parallel Computing or Any person wanting to start learning Parallelism or Anyone who wants to start their career in the world of Parallel Computing It is particularly useful for Anyone looking to build a strong career in computer science or engineering through Parallel Computing or Any person wanting to start learning Parallelism or Anyone who wants to start their career in the world of Parallel Computing.

Enroll now: Introduction to Parallelism for Complete Beginners

Summary

Title: Introduction to Parallelism for Complete Beginners

Price: Free

Average Rating: 4.5

Number of Lectures: 9

Number of Published Lectures: 9

Number of Curriculum Items: 10

Number of Published Curriculum Objects: 10

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Develop essential level skills of Parallel Computing Programming
Task Decomposition and Task Dependency Graph
Parallelism fundamentals: speedup, task dependency graph, overheads, critical path, scalability, etc.
Get fast and friendly support in the Q&A area

Who Should Attend

Anyone looking to build a strong career in computer science or engineering through Parallel Computing
Any person wanting to start learning Parallelism
Anyone who wants to start their career in the world of Parallel Computing

Target Audiences

Anyone looking to build a strong career in computer science or engineering through Parallel Computing
Any person wanting to start learning Parallelism
Anyone who wants to start their career in the world of Parallel Computing

Start your computer science journey in-depth with this Parallelism course online.

Whether you want to:

– build the skills you need to get started in Parallel Computing

– move to a more senior computer scientist position

– become a computer scientist mastering in parallel programming

– or just learn Parallelism to be able to work with your own parallelism projects quickly.

…this introduction to Parallelism Masterclass is the course you need to do all of this, and more.

What makes this course ideal?

This course contains all the Solid Foundations to be an expert in Parallelism.
We will learn it from scratch so any person without any background can start learning.
All the content is for free!

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

Basic metrics: parallelism, execution time, speedup and scalability
Tasks and Task Dependency Graph

Amdahl’s Law and Overheads

How to develop a strong ability for analyzing task dependency graphs.

What if I have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you have everyday.

This means you’ll never find yourself stuck on one lesson for days on end. With my hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

Ready to get started, developer?

Enroll nowusing the “Add to Cart” button on the right, and get started on your way to creative, advanced Parallel Computing brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, Parallelism is waiting!)

Course Curriculum

Chapter 1: Parallelism Fundamentals

Lecture 1: Introduction to Parallelism

Lecture 2: Expressing Tasks

Lecture 3: Tasks and Dependencies

Lecture 4: Task Dependency Graph

Lecture 5: Granularity and Parallelism

Lecture 6: Task Definition

Lecture 7: Advanced Granularity

Lecture 8: Speedup and Efficiency

Lecture 9: Common Overheads

Instructors

Lucas Bazilio
Engineer and Mathematician

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4 stars: 1 votes
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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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