The Complete Parallelism Course- From Zero to Expert!

The Complete Parallelism Course: From Zero to Expert!, available at $59.99, has an average rating of 3.95, with 67 lectures, based on 16 reviews, and has 730 subscribers.

You will learn about Become an advanced, confident, and modern parallel computing developer from scratch Learn OpenMP and MPI from zero Become job-ready by understanding how Parallelism really works behind the scenes Parallelism fundamentals: speedup, task dependency graph, overheads, critical path, scalability, etc. How to think and work like a developer: problem-solving, researching, workflows Get fast and friendly support in the Q&A area Complex concepts like the Geometric Data Decomposition, Recursive Structures, etc. Practice your skills with 20+ challenges and assignments (solutions included) This course is ideal for individuals who are Take this course if you want to gain a true and deep understanding of Parallelism or Take this course if you have been trying to learn Parallelism but: 1) still dont really understand Parallelism, or 2) still dont feel confident to code real apps or Take this course if you already know Parallelism and are looking for an advanced course. This course includes expert topics! It is particularly useful for Take this course if you want to gain a true and deep understanding of Parallelism or Take this course if you have been trying to learn Parallelism but: 1) still dont really understand Parallelism, or 2) still dont feel confident to code real apps or Take this course if you already know Parallelism and are looking for an advanced course. This course includes expert topics!.

Enroll now: The Complete Parallelism Course: From Zero to Expert!

Summary

Title: The Complete Parallelism Course: From Zero to Expert!

Price: $59.99

Average Rating: 3.95

Number of Lectures: 67

Number of Published Lectures: 66

Number of Curriculum Items: 68

Number of Published Curriculum Objects: 67

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Become an advanced, confident, and modern parallel computing developer from scratch

Learn OpenMP and MPI from zero

Become job-ready by understanding how Parallelism really works behind the scenes

Parallelism fundamentals: speedup, task dependency graph, overheads, critical path, scalability, etc.

How to think and work like a developer: problem-solving, researching, workflows

Get fast and friendly support in the Q&A area

Complex concepts like the Geometric Data Decomposition, Recursive Structures, etc.

Practice your skills with 20+ challenges and assignments (solutions included)

Who Should Attend

Take this course if you want to gain a true and deep understanding of Parallelism

Take this course if you have been trying to learn Parallelism but: 1) still dont really understand Parallelism, or 2) still dont feel confident to code real apps

Take this course if you already know Parallelism and are looking for an advanced course. This course includes expert topics!

Target Audiences

Take this course if you want to gain a true and deep understanding of Parallelism

Take this course if you have been trying to learn Parallelism but: 1) still dont really understand Parallelism, or 2) still dont feel confident to code real apps

Take this course if you already know Parallelism and are looking for an advanced course. This course includes expert topics!

You’ve just stumbled upon the most complete, in-depth Parallelism programming course online.

Whether you want to:

– build the skills you need to get your first computer science programming job

– move to a more senior software developer position

– become a computer scientist mastering in parallel programming

– or just learn Parallelism to be able to create your own parallel applications quickly.

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

This course is designed to give you the Parallelism skills you need to become an expert developer on parallel applications. By the end of the course, you will understand Parallelism extremely well and be able to build your own Parallel apps and be productive as a computer scientist and software developer.

What makes this course a bestseller?

Like you, thousands of others were frustrated and fed up with fragmented Youtube tutorials or incomplete or outdated courses which assume you already know a bunch of stuff, as well as thick, college-like textbooks able to send even the most caffeine-fuelled coder to sleep.

Like you, they were tired of low-quality lessons, poorly explained topics, and confusing info presented in the wrong way. That’s why so many find success in this complete Parallel Programming developer course. It’s designed with simplicity and seamless progression in mind through its content.

This course assumes no previous coding experience and takes you from absolute beginner core concepts. You will learn the core Parallelism skills and master parallalel programming. It’s a one-stop shop to learn Parallelism and Concurrency. If you want to go beyond the core content you can do so at any time.

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)

Designing and Analysis of Parallel Applications

Tasks and Task Dependency Graph

Parallel Architectures

Basic metrics: parallelism, execution time, speedup and scalability

Programming with Shared Memory: OpenMP

Synchronization mechanisms between tasks and threads

Static/Dynamic Work Distribution

Granularity

Task Decomposition vs Data Decomposition

Parallelism Patterns: Iterative vs Divide and Conquer Task Decompositions

Data Decomposition (Geometric Decomposition vs Recursive Structures) for Architectures with Shared Memory

What if I have questions?

As if this course wasn’t complete enough, I offer full support, answering any questions you have 7 days a week.

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.

There’s no risk either!

This course comes with a full 30-day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let me know and I’ll refund you 100%, every last penny no questions asked.

You either end up with Parallelism skills, go on to develop great programs and potentially make an awesome career for yourself, or you try the course and simply get all your money back if you don’t like it…

You literally can’t lose.

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 Programming 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, OpenMP is waiting!)

Course Curriculum

Chapter 1: Course Overview

Lecture 1: Course Introduction

Chapter 2: 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: Amdahls Law

Lecture 10: Overhead Sources

Lecture 11: Common Overheads

Chapter 3: Solved Problems – Fundamentals of Parallelism

Lecture 1: Problem 1 – Question A

Lecture 2: Problem 1 – Question B

Lecture 3: Problem 1 – Question C

Lecture 4: Problem 2

Lecture 5: Problem 3 – Question A

Lecture 6: Problem 3 – Question B

Lecture 7: Problem 3 – Question C

Lecture 8: Problem 4 – Question A

Lecture 9: Problem 4 – Question B

Lecture 10: Problem 4 – Question C

Lecture 11: Problem 5 – Question A

Lecture 12: Problem 5 – Question B

Lecture 13: Problem 5 – Question C

Chapter 4: OpenMP – Task Decomposition

Lecture 1: Task Decomposition Strategies

Lecture 2: Recursive Task Decomposition

Lecture 3: Introduction to OpenMP

Lecture 4: Task Generation Control

Lecture 5: Leaf Strategy

Lecture 6: Tree Strategy

Lecture 7: Depth Recursion Control

Lecture 8: Atomic Directive

Lecture 9: Critical Directive

Lecture 10: Reduction Clause

Lecture 11: Locks in OpenMP

Chapter 5: OpenMP – Task Ordering

Lecture 1: Taskwait and Taskgroup

Lecture 2: Task Dependency Clauses

Lecture 3: Wavefront Example

Chapter 6: OpenMP – Solved Problems

Lecture 1: Problem 1 – Question A

Lecture 2: Problem 1 – Question B

Lecture 3: Problem 2 – Question A

Lecture 4: Problem 2 – Question B

Lecture 5: Problem 2 – Question C

Lecture 6: Problem 3

Lecture 7: Problem 4

Lecture 8: Problem 5 – Question A

Lecture 9: Problem 5 – Question B

Lecture 10: Problem 6 – Question A

Lecture 11: Problem 6 – Question B

Chapter 7: MPI – Introduction

Lecture 1: Introduction to MPI

Lecture 2: Installing MPI

Chapter 8: MPI – First Steps

Lecture 1: First MPI Program

Chapter 9: MPI – Point-to-Point Communication

Lecture 1: Sending and Receiving Messages

Lecture 2: Blocking Operations

Chapter 10: MPI – Collective Communications

Lecture 1: Collective Operations

Lecture 2: Gather and Scatter Operations

Lecture 3: Parallel Sum Calculation

Lecture 4: Introduction to MPI_Allgather

Lecture 5: Parallel Maximum Element Search

Lecture 6: MPI Reduce Operations

Chapter 11: Solved Problems – Collective Communications

Lecture 1: Problem 1 – Average Computation

Lecture 2: Problem 2 – Parallel Data Transformation

Chapter 12: Packing

Lecture 1: Sharing Data

Chapter 13: Non-blocking Operations

Lecture 1: Introduction to Non-blocking Operations

Lecture 2: Non-blocking Operations Application

Instructors

Lucas Bazilio
Engineer and Mathematician

Rating Distribution

1 stars: 1 votes

2 stars: 1 votes

3 stars: 1 votes

4 stars: 5 votes

5 stars: 8 votes

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!