Introduction to Parallelism for Complete Beginners

Name: Introduction to Parallelism for Complete Beginners
Rating: 4.7 (8 reviews)

The modern Parallelism course for everyone! Get started in Parallelism with the fundamentals.

Created byLucas Bazilio

Last updated 12/2022

English

What you'll 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

Course content

1 section • 9 lectures • 1h 56m total length

Introduction to Parallelism9:40
On this lesson we make our first contact to the world of Parallelism.
Expressing Tasks7:29
On this lesson we introduce tasks and study an example to express tasks.
Tasks and Dependencies11:13
On this lesson we study dependences between tasks.
Task Dependency Graph9:09
On this lesson we study the Task Dependency Graph and the basic metrics we can compute.
Task Dependency Graph Exercise
Granularity and Parallelism5:53
On this lesson we introduce the concept of granularity in the world of parallelism.
We also study the two main task decompositions: coarse-grain and fine-grain.
Task Definition14:45
On this lesson we study the task definition.
Advanced Granularity29:01
On this lesson, we study in deep the granularity that we can achieve and we explore
different task decompositions with the same algorithm.
Speedup and Efficiency14:46
Common Overheads7:25
On this lesson we study the most common overheads.
We also see a first approach to model the data sharing overhead.

Requirements

No parallelism experience is necessary to take this course! I take you from beginner to expert!
Basic understanding of one programming language

Description

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 now using 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!)

Who this course is for:

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