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 don't really understand Parallelism, or 2) still don't 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 don't really understand Parallelism, or 2) still don't 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 don't really understand Parallelism, or 2) still don't 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 don't really understand Parallelism, or 2) still don't 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
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Tasks and Task Dependency Graph
-
Parallel Architectures
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Basic metrics: parallelism, execution time, speedup and scalability
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Programming with Shared Memory: OpenMP
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Synchronization mechanisms between tasks and threads
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Static/Dynamic Work Distribution
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Granularity
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Task Decomposition vs Data Decomposition
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Parallelism Patterns: Iterative vs Divide and Conquer Task Decompositions
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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: Amdahl's 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
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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!
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