Title

Master Parallel Computing and Multithreading in Java

Discover Multithreading, Concurrency & Parallel programming with practical and fun examples in Java

4.55 (11 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Master Parallel Computing and Multithreading in Java
209
students
6 hours
content
Nov 2021
last update
$59.99
regular price

What you will learn

Discover how to create responsive and high performance software.

See how to use multithreading and multiprocessing for modeling certain types of problems.

Develop programs with Java that are highly Concurrent and Parallel.

Understand the advantages, limits and properties of Parallel computing.

Improve your programming skills in Java with more advanced, mulithreading topics.

Learn about threads, processes, mutexes, barriers, waitgroups, queues, condition variables, deadlocks, spin locks and more.

Why take this course?

๐Ÿš€ Master Parallel Computing and Multithreading in Java ๐ŸŒŸ


Course Headline:

Discover Multithreading, Concurrency & Parallel Programming with Practical and Fun Examples in Java!


Course Description:

The Scenario: Have you ever been in a meeting where the air thickens with tension as a critical application fails, causing a system-wide outage? It's every developer's nightmare. ๐Ÿ˜ฑ That was the reality for a team at an international investment bank. The culprit? A race condition, a bug that occurs due to multiple threads of execution writing to shared data concurrently in ways not intended by the programmer.

The Reality: Race conditions might seem like arcane, high-level problems only seasoned developers face. But the truth is, multithreading and parallel programming are accessible skills that can be mastered with the right guidance and understanding. It's a common misconception that concurrent programming is an advanced topic reserved for experts. ๐Ÿ› ๏ธ

The Breakthrough: In this course, we demystify parallel computing in Java by breaking down the concepts into bite-sized, practical lessons. We start by laying the theoretical foundation of parallelism and then delve into how operating systems manage processes and threads. With a solid understanding, we tackle real-world problems using concurrent programming techniques. ๐Ÿง ๐Ÿš€

What You'll Learn:

  • The fundamentals of parallel computing and why it's essential for performance and scalability.
  • How the Java Virtual Machine (JVM) handles multithreading.
  • Essential tools and APIs for threading in Java, such as java.util.concurrent and Executors.
  • Best practices for synchronizing shared resources in a multithreaded environment to avoid race conditions.
  • Techniques for debugging concurrency issues.
  • Design patterns that facilitate modular, scalable, and maintainable parallel programming.

Why Java? Java provides a robust ecosystem for parallel computing with built-in support through its language features and libraries. The concepts you'll learn in this course are transferable to other languages, but Java offers a well-defined path to mastery in multithreading and concurrency. โ˜•๐Ÿงต

Hands-On Learning: Throughout the course, we'll work on practical examples, which you can find and explore further on our dedicated GitHub repository. This repository will serve as a valuable resource for code samples, projects, and additional learning materials.

Who Is This Course For?

  • Aspiring developers looking to understand the intricacies of multithreading in Java.
  • Existing developers aiming to sharpen their concurrency skills.
  • Team leads or project managers who want to oversee multithreaded projects more effectively.
  • Anyone interested in high-performance computing and scalable applications.

Embark on a journey to become proficient in multithreading and parallel programming with "Master Parallel Computing and Multithreading in Java." Dive into the world of concurrent execution, where your code runs faster and smarter than ever before! ๐ŸŽ‰


Key Takeaways:

  • Understand Concurrency: Learn how multiple threads can operate simultaneously for improved performance.
  • Master Threading: Get hands-on with Java's threading models and understand how to control thread behavior.
  • Avoid Common Pitfalls: Discover best practices and patterns that ensure your applications are robust against concurrency issues.
  • Leverage Real-World Examples: Apply what you learn to practical, engaging examples that bring the concepts to life.
  • Access Extensive Resources: Utilize our GitHub repository for additional practice and exploration.

Join us now, and transform the way you think about parallel computing in Java! ๐ŸŒŸ๐Ÿ‘ฉโ€๐Ÿ’ป๐Ÿง™โ€โ™‚๏ธ

Screenshots

Master Parallel Computing and Multithreading in Java - Screenshot_01Master Parallel Computing and Multithreading in Java - Screenshot_02Master Parallel Computing and Multithreading in Java - Screenshot_03Master Parallel Computing and Multithreading in Java - Screenshot_04

Reviews

Sameer
January 28, 2022
Examples are good, with explanation. But there are few queries which are still not addressed such as How did you derive number of Trades during each program, what if there are 5000 treads called at same time, is there any dependencies on OS or CPU for performance. Or how to manage max capacity of CPU vs Trades Also I am trying to understand if there are multi-traded inter processing component, which is called for each client as trade (such as each Train, as thread is calling multi-traded program). What will the impact of CPU time,
Ewa
November 12, 2021
I'm starting to understand what is going on in parallel computing. I have good feeling that next lessons give me more hints.

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4386194
udemy ID
07/11/2021
course created date
13/11/2021
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