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Java Multithreading - Concurrency, Parallelism & Performance

4.5 Filled star Filled star Filled star Filled star Half star
Based on 253 ratings
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Andrii Piatakha and Learn IT University

From this course, you can learn Multithreading with Java Examples.

There are a lot of other courses on this topic. So, why would you choose exactly this course?  Here are just a few reasons:- Coding examples

To learn to program is not enough just watching videos and reading books. You also need to have a lot of practice. In this training course, you will review multiple practical tasks and coding examples which will help you learn and understand Java better.

- Open source code

Read more

From this course, you can learn Multithreading with Java Examples.

There are a lot of other courses on this topic. So, why would you choose exactly this course?  Here are just a few reasons:- Coding examples

To learn to program is not enough just watching videos and reading books. You also need to have a lot of practice. In this training course, you will review multiple practical tasks and coding examples which will help you learn and understand Java better.

- Open source code

We hide nothing from our students.  Including the source code for the home task solutions and source code of examples that were shared during the lesson. Having the source code you can just copy and paste it to run it on your local computer to understand how things work better.

You are allowed to use all source code examples for learning purposes. This helps significantly to configure the environment and make tests work, especially in case students didn't work with any testing framework in the past.

- Q&A support 

The significant difference between the online and offline learning process is the instructor's availability. If you are in one room with a tutor he always can help you to get understand the specific concept or to help fix your code on your computer. In this course, we are supporting students with answers to any questions flagged in the Q&A section. In case there will be recurring questions - separate video lessons will be created to show how to address the issue.

So with this course you are not just getting video materials, code exercises, source code, access to the free mobile application without limits (which is still pretty cool, huh? :) ), but you also get tutor support and answers to your questions along with this course. - Relevant knowledge

After our team investigated other Java courses on Udemy we realized that most of them have nothing in common with real life. The information which is shared there is very old and significantly out of date. For example, the instructor teaches a framework which is not been used already for 15 years. Or instructors do stress on the programming design which is not used anymore at all.

The instructor of this course is a consultant in a top-rated IT outsourcing company and helps to bring cutting-edge solutions in IT for all his clients. Feel free to check the LinkedIn page of the instructor and check skills endorsement. More than 19 thousand people across all over the world (BTW most of them are from the top 100 companies of the world) evaluated the skills of Andrii Piatakha.

With this course, you can be sure that you will spend your time learning the right things from one of the best IT consultants in the world.

- Free mobile App without limits for our students

Knowing Java is one skill. Be able to pass interviews in the company - that is another skill :) Nowadays a lot of companies use tests to select candidates on the first level of interview. We developed applications to practice skills specifically for such purposes.

In this course, we will provide you link to download our FREE mobile app for android. (soon it will be also available for iOS platforms)

The instructor of this course comes up with hundreds of tests that are used to test the knowledge of candidates. With this application, you will be well-prepared for the interview.

Also, only for our students - there is no limit on attempts to pass certification. In the course, we will tell you how to set up a special bonus code that will remove restrictions for our students inside the app.

- High concentration of useful material in each lesson

Sometimes you can notice that watching 5 minutes of our lesson is equivalent to watching another 30 minutes lesson.

This is because time spent for preparation for the lesson (script for the lesson, lesson structure) and video editing (to cut boring pieces of the lesson or time when the program loads) sometimes 10 times as much (sometimes even 20) as the final lesson duration after video editing.

Also, each topic is separated from another. In case some concept will be explained in the next lesson and you don't need to worry about understanding this in the scope of this lesson - the instructor will make an announcement when a specific topic will be covered.

Go and try it yourself.  We will appreciate your feedback.

So don't wait. Take a look at the lessons' preview if you still have doubts.

Buy this course today, and you will get all updates for FREE.

For those who successfully passed this training course, or for students who were recognized for asking amazing questions, there is a special offer from the IT-Bulls company. The creator of this course is IT-Bulls company CEO and Founder. We are always in search of talents to run our amazing startups together with you. Probably you always dreamed about running your startup? In this course, you will be able to find the team who will teach you how to do that and (in particular cases) will be glad to help with implementation.

Hope you enjoy this course. And remember, we appreciate all your feedback. Your feedback will help us to become even better.  Your feedback will help us to create to best Java course ever.

See you at the lessons.  :)

Enroll now

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What's inside

Learning objectives

  • Multithreading :)
  • Memory management in multithreading programs
  • Monitor/mutex and how to work with it
  • Build well designed & correct multithreaded applications in java, with confidence
  • How to create java multithreading apps
  • How thread scheduler works in java
  • What is race condition and how to avoid it
  • Concurrent programming
  • Deadlocks & livelocks and how to avoid them
  • Executor services in jdk
  • Lock api in jdk
  • Learn to write asynchronous/parallel programming code using functional style apis
  • Synchronizers
  • Gain expert-level practical knowledge of modern software architecture & programming using threads
  • Understand the advantages, limits and properties of parallel computing
  • Learn to write asynchronous code using completablefuture
  • Show more
  • Show less

Syllabus

From this section you will learn course structure, more about this course, and understand communication channels to use during the course

From this lecture you will learn:
• How to communicate during this course

• Where to ask questions

• How to ask questions

• Communication channels

Read more

From this lecture you will learn:

• Where to find good tests to verify your knowledge

• How to get unlimited access to Learn IT application (only for my students from Udemy)

  • What is a process

  • What is a thread of execution

  • What is concurrency

  • What is a multithreading

  • How multithreading work: High-level overview

  • Threads synchronization: High-level overview

  • Classic tasks and use cases for multithreading programming

  • Benefits of multithreading

  • Drawbacks of multithreading

  • Multithreading in Java (packages, tools) - do not forget to mention concurrent collections

  • Thread lifecycle and possible states of a thread

  • How to start a thread - 5 ways

  • Thread class

  • Runnable interface

  • Main properties of Thread object (id, name, priority, daemon)

  • TimeUnit

  • How to interrupt thread of execution

  • How to stop execution - deprecated stop(), suspend() and resume() methods

  • interrupt() VS interrupted() VS isInterrupted()

  • currentThread()

  • sleep()

  • join() method

  • Thread scheduler

  • Race condition

  • priority filed in Thread

  • yield() method in Thread class

  • Daemon threads

  • Thread Groups

  • Throwing exception from run() method

  • What is critical section

  • Atomic operations

  • Basic synchronization example

  • What is a monitor

  • What is a mutex

  • monitor VS mutex

  • synchronized keyword

  • Synchronized blocks

  • wait()

  • notify()

  • notifyAll()

  • Memory management in multithreading programs

  • Hardware memory architecture

  • volatile keyword example

  • java.util.concurrent.atomic

  • ThreadLocal

  • InheritableThreadLocal

  • What is deadlock

  • What is livelock

  • How to reproduce deadlock

  • How to reproduce livelock

  • How to avoid deadlock and livelock

  • Executor interface

  • Executor service interface

  • What is a thread pool

  • How to start thread with executor service

  • What is Callable

  • What is Future

  • invokeAll() & invokeAny()

  • Thread interruption with executor service

  • Overview of basic executor services

  • Fixed Thread Pool Executor

  • ThreadPoolExecutor

  • Thread Starvation

  • How much threads to create in pool

  • Blocking coefficient

  • ThreadFactory

  • Cached Thread Pool Executor

  • Single Thread Pool Executor

  • Scheduled Thread Pool Executor

  • Fork/Join Framework overview

  • ForkJoinPool class

  • Work-stealing algorithm

  • RecursiveAction

  • RecursiveTask

  • newWorkStealingPool

  • Fork/join critique

  • How to execute tasks with completable future

  • runAsync(), supplyAsync()

  • complete()

  • What is a callback

  • thenApply(), thenApplyAsync()

  • thenAccept(), thenAcceptAsync()

  • thenRun(), thenRunAsync()

  • Combining Futures

  • thenCompose(), thenComposeAsync()

  • thenCombine(), thenCombineAsync()

  • thenAcceptBoth(), thenAcceptBothAsync

  • allOf(), anyOf()

  • exception handling with CompletableFuture

  • What is Lock API

  • Advantages of Lock API

  • Synchronized blocks VS Locks

  • Lock interface overview

  • ReentrantLock

  • Lock fairness

  • Conditions

  • Lock interface

  • ReadWriteLock interface

  • ReentrantReadWriteLock class

  • StampedLock

  • CyclicBarrier

  • CountDownLatch

  • CyclicBarrier VS CountDownLatch

  • Semaphore

  • Exchanger

  • Phaser

  • Phaser VS CyclicBarrier

The Quiz covers content from the following lessons:

  • Introduction to Multithreading

  • First Multithreading Program: Thread & Runnable

  • Thread Scheduler, Race Condition, Daemon Threads & Thread Groups

  • Synchronization basics: Critical Areas, Monitor/Mutex, Synchronized

  • Memory Management in Multithreading Programs

  • Deadlock and Livelock

  • Executor Services, Callable & Future

  • Executor Service Implementations & ThreadFactory

  • Fork/Join Framework

  • CompletableFuture

  • Lock API - Lock, ReadWriteLock, ReentrantLock, ReentrantReadWriteLock, StampedLock

  • Synchronizers - CyclicBarrier, CountDownLatch, Semaphore, Exchanger & Phaser

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Covers concurrent programming, which is essential for building high-performance and scalable Java applications, making it highly relevant for developers working on enterprise-level systems
Explores Executor Services in JDK, providing developers with tools to manage threads efficiently and improve application responsiveness, which is a core skill for modern Java development
Discusses Lock API in JDK, enabling fine-grained control over thread synchronization and offering alternatives to traditional synchronized blocks, which is useful for advanced concurrency scenarios
Examines the Fork/Join Framework, which is valuable for parallelizing computationally intensive tasks and improving performance on multi-core processors, making it relevant for high-performance computing
Teaches CompletableFuture, which allows developers to write asynchronous code in a more manageable and composable way, enhancing the responsiveness and scalability of applications
Includes interview preparation, which helps learners apply their knowledge and demonstrate their skills in a professional setting, making it useful for career advancement

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
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Reviews summary

In-depth java multithreading and concurrency guide

According to students, this course offers a comprehensive and practical exploration of Java multithreading, concurrency, parallelism, and performance. Learners particularly appreciate the instructor's ability to provide clear explanations of complex topics and the abundance of useful, hands-on coding examples with source code provided. Many reviewers found the content highly relevant for real-world applications and interview preparation. While the course is widely praised for its depth and clarity, some learners note that the pace can be challenging for absolute beginners, suggesting a solid foundation in core Java is beneficial. Overall, it is considered a highly valuable resource for developers looking to master Java concurrency.
Content applicable to work and job seeking.
"The knowledge gained here is directly applicable to writing better concurrent applications in my professional work."
"This course was invaluable for preparing for technical interviews that heavily test multithreading concepts."
"I feel much more confident discussing concurrency patterns and issues after taking this course."
"The bonus interview app and questions section were a thoughtful addition and very useful."
Wide range of essential concurrency topics.
"This course covers everything from the basics of threads to advanced topics like CompletableFuture and Synchronizers."
"I was impressed by the breadth of topics, including Executors, Locks, and Fork/Join Framework."
"It provides a solid foundation and then builds upon it with more advanced JDK concurrency APIs."
"The syllabus is well-structured and covers all the crucial aspects of Java multithreading I needed to know."
Complex topics are explained simply.
"The instructor does a fantastic job of explaining difficult topics like race conditions and deadlocks in a way that is easy to digest."
"I finally feel like I understand how synchronization and volatile keywords really work thanks to the clear lectures."
"Each concept is broken down well, making even the most daunting aspects of concurrency understandable."
"The explanations are concise and straight to the point, packing a lot of information into each lesson."
Hands-on coding helps solidify concepts.
"I really liked the practical code examples and being able to download the source code. It made it much easier to understand the concepts."
"The demos were very helpful, showing exactly how these complex multithreading concepts work in practice."
"Having the source code readily available allowed me to experiment and see the results immediately, which was great for learning."
"This course excels in providing concrete examples for every topic discussed, which is crucial for grasping concurrency."
May require prior Java knowledge.
"As someone relatively new to advanced Java, I found the pace quite fast in places and had to rewatch lectures."
"This course assumes a decent understanding of core Java concepts before diving into multithreading."
"It's probably best suited for intermediate to advanced Java developers, not complete beginners."
"While thorough, I struggled a bit early on until I brushed up on some Java fundamentals."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Java Multithreading - Concurrency, Parallelism & Performance with these activities:
Review Core Java Concepts
Reinforce your understanding of fundamental Java concepts like object-oriented programming, data structures, and basic syntax. A solid foundation in these areas is crucial for understanding the complexities of multithreading.
Show steps
  • Review Java syntax and data types.
  • Practice writing basic Java programs.
  • Study object-oriented programming principles.
Review 'Effective Java'
Improve your overall Java programming skills with a focus on concurrency best practices. This book provides essential guidance on designing thread-safe classes and avoiding common pitfalls.
View Effective Java (3rd Edition) on Amazon
Show steps
  • Read the book cover to cover.
  • Focus on the chapters related to concurrency.
  • Apply the principles to your own code.
Read 'Java Concurrency in Practice'
Deepen your understanding of Java concurrency concepts with a comprehensive guide. This book provides practical examples and best practices for building robust multithreaded applications.
View Java Concurrency in Practice on Amazon
Show steps
  • Read the book cover to cover.
  • Work through the examples in the book.
  • Take notes on key concepts.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Implement Thread-Safe Data Structures
Solidify your understanding of thread safety by implementing common data structures in a thread-safe manner. This exercise will help you apply synchronization techniques and avoid race conditions.
Show steps
  • Implement a thread-safe queue using locks.
  • Implement a thread-safe hash map using concurrent collections.
  • Test your implementations thoroughly.
Write a Blog Post on Deadlock Prevention
Reinforce your understanding of deadlock prevention techniques by explaining them in a clear and concise manner. Writing a blog post will help you organize your thoughts and solidify your knowledge.
Show steps
  • Research common deadlock scenarios.
  • Explain deadlock prevention techniques with examples.
  • Write a clear and concise blog post.
Build a Concurrent Web Server
Apply your knowledge of Java multithreading to build a practical application. This project will challenge you to design and implement a concurrent web server that can handle multiple client requests simultaneously.
Show steps
  • Design the architecture of the web server.
  • Implement thread pooling for handling requests.
  • Implement request handling logic.
  • Test the web server with multiple concurrent clients.
Contribute to a Concurrent Open Source Project
Gain practical experience with real-world concurrency challenges by contributing to an open-source project. This will expose you to different coding styles, collaboration workflows, and complex concurrency scenarios.
Show steps
  • Find a suitable open-source project with concurrency aspects.
  • Understand the project's codebase and contribution guidelines.
  • Identify and fix a bug or implement a new feature related to concurrency.
  • Submit your contribution for review.

Career center

Learners who complete Java Multithreading - Concurrency, Parallelism & Performance will develop knowledge and skills that may be useful to these careers:
Java Developer
A Java developer builds applications using the Java programming language. This Java Multithreading course directly enhances a Java developer's skills in building high-performance, concurrent applications. This course teaches Java examples. The course's focus on multithreading concepts, concurrent programming techniques, and asynchronous code helps Java developers create efficient and responsive applications. The coding examples, open source code, and Q&A support in this course improve a Java developer's ability to implement multithreaded solutions effectively.
See salaries and explore the career path for Java Developer
Concurrency Engineer
A concurrency engineer specializes in designing and implementing concurrent systems. This course on Java Multithreading directly addresses the core skills needed for this role. A concurrency engineer will apply approaches to parallel programming, memory management, and thread safety. The course's in-depth coverage of topics such as race conditions, deadlocks, livelocks, and synchronizers equips a concurrency engineer with the tools to build robust and reliable concurrent systems. The coding examples, open source code, and Q&A support enhance the ability to implement complex multithreaded solutions effectively.
See salaries and explore the career path for Concurrency Engineer
High-Performance Computing Engineer
A high performance computing engineer focuses on developing and optimizing applications for high-performance computing environments. This course on Java Multithreading directly aligns with the skills needed for this role. The course's in-depth coverage of parallel computing, asynchronous code, executor services, and the ForkJoin framework equips engineers with the knowledge to build highly scalable and efficient applications. The coding examples, open source code, and Q&A support enhance the ability to implement complex multithreaded solutions effectively. You will also understand the advantages, limits and properties of Parallel computing.
See salaries and explore the career path for High-Performance Computing Engineer
Performance Engineer
A performance engineer analyzes and optimizes the performance of software systems. This course on Java Multithreading helps performance engineers identify and resolve concurrency-related performance bottlenecks. The course teaches the advantages and limits of parallel computing, plus functional style APIs. The skills to write asynchronous code using CompletableFuture improves a performance engineer's ability to optimize application responsiveness. The course's detailed lessons on memory management in multithreading programs and thread schedulers provides the knowledge to fine-tune application performance.
See salaries and explore the career path for Performance Engineer
Software Engineer
A software engineer designs, develops, and tests software applications. This course on Java Multithreading helps a software engineer write efficient and high-performance applications. The course's focus on concurrent programming, asynchronous code, and executor services provides a strong understanding of how to handle multiple tasks simultaneously. The practical coding examples, open source code, and Q&A support in this course enhance a software engineer's ability to implement multithreaded solutions effectively. You will gain practical knowledge of modern software architecture too, using threads.
See salaries and explore the career path for Software Engineer
Application Developer
An application developer focuses on creating and maintaining software applications for various platforms. This Java Multithreading course helps application developers build responsive and scalable applications that can handle multiple user requests concurrently. By teaching how to avoid race conditions, deadlocks, and livelocks, the course equips developers with the knowledge to create stable and reliable applications. The course's coverage of synchronizers and lock API helps application developers manage shared resources efficiently. The coding examples will show you how to create Java Multithreading Apps.
See salaries and explore the career path for Application Developer
Backend Developer
A backend developer is responsible for designing and implementing the server-side logic of web applications and other software systems. This Java Multithreading course helps backend developers create scalable and efficient backend systems that can handle a high volume of concurrent requests. The course's coverage of executor services, lock API, and synchronizers enables backend developers to manage resources effectively and prevent performance bottlenecks. The memory management lessons help create efficient backend systems that reliably serve client requests. The course will also help you build well designed and correct multithreaded applications in Java.
See salaries and explore the career path for Backend Developer
Financial Software Developer
A financial software developer creates software applications for the financial industry, such as trading platforms and risk management systems. This Java Multithreading course helps financial software developers build high-performance and reliable applications that can handle a high volume of concurrent transactions. The course's coverage of executor services, lock API, and synchronizers enables developers to manage resources effectively and prevent performance bottlenecks in financial systems. With this course, you can gain expert-level practical knowledge of modern software architecture and programming using threads.
See salaries and explore the career path for Financial Software Developer
Data Scientist
A data scientist analyzes large datasets to extract insights and build predictive models. This course on Java Multithreading may be useful if a data scientist is working on Java-based data processing or machine learning applications that require parallel execution. The course's coverage of executor services, CompletableFuture, and the ForkJoin framework helps data scientists optimize the performance of computationally intensive data analysis tasks. This Java Multithreading course can also help you learn to write Asynchronous code using Completablefuture.
See salaries and explore the career path for Data Scientist
Game Developer
A game developer creates video games for various platforms. This Java Multithreading course may be useful for game developers who need to implement concurrent game logic and optimize game performance. The course's coverage of thread schedulers, memory management, and synchronization primitives provides insights into the inner workings of multithreaded game engines. The coding examples may also help game developers implement multithreaded game logic effectively.
See salaries and explore the career path for Game Developer
Mobile Application Developer
A mobile application developer creates applications for mobile devices, such as smartphones and tablets. This Java Multithreading course may be useful for mobile application developers working with Java-based mobile platforms, such as Android. The course's coverage of thread schedulers, memory management, thread lifecycle and synchronization primitives provides insights into optimizing concurrent execution on mobile devices. The lessons on avoiding deadlocks and livelocks also help developers write stable and reliable mobile applications.
See salaries and explore the career path for Mobile Application Developer
Systems Programmer
A systems programmer works on low-level software components, such as operating systems and device drivers. This course on Java Multithreading may be useful for systems programmers who need to understand and optimize concurrent execution in Java-based systems. The course's coverage of thread schedulers, memory management, and synchronization primitives provides valuable insights into the inner workings of multithreaded systems. The lessons on avoiding deadlocks and livelocks can also help system programmers write stable and reliable low-level code.
See salaries and explore the career path for Systems Programmer
Cloud Engineer
A cloud engineer is responsible for designing, deploying, and managing applications and infrastructure on cloud platforms. This course on Java Multithreading may be useful for cloud engineers who need to optimize the performance and scalability of Java-based applications running in the cloud. The course's coverage of executor services, lock API, and synchronizers helps cloud engineers manage resources effectively and prevent performance bottlenecks in cloud environments. The insights into thread schedulers and memory management can also prove useful when optimizing cloud application performance.
See salaries and explore the career path for Cloud Engineer
Embedded Systems Engineer
An embedded systems engineer develops software for embedded devices, such as microcontrollers and IoT devices. This course on Java Multithreading may be useful for embedded systems engineers working with Java-based embedded platforms. The course's coverage of memory management, thread schedulers, and synchronization primitives provides valuable insights into optimizing concurrent execution in resource-constrained environments. The lessons on avoiding deadlocks and livelocks may also help embedded systems engineers write stable and reliable code.
See salaries and explore the career path for Embedded Systems Engineer
Quantitative Analyst
A quantitative analyst develops and implements mathematical models for financial analysis and risk management. While this course on Java Multithreading may not directly apply to the core tasks of a quantitative analyst, it can be helpful if they are involved in developing high-performance computing applications for financial modeling. The course's coverage of parallel computing, asynchronous code, and executor services helps quantitative analysts optimize the performance of computationally intensive tasks. The course teaches how to understand the advantages, limits and properties of Parallel computing.
See salaries and explore the career path for Quantitative Analyst

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Java Multithreading - Concurrency, Parallelism & Performance.
Cover image
Java Concurrency in Practice
Save
Comprehensive guide to Java concurrency, covering fundamental concepts, design principles, and common concurrency patterns. It delves into topics like thread safety, synchronization, and concurrent collections, providing practical examples and best practices. It's a highly recommended resource for understanding the intricacies of building robust and scalable multithreaded applications in Java and is often used as a textbook.
Java Concurrency in Practice
Paperback
$$
Java Concurrency in Practice
Kindle Edition
$$
Effective Java (3rd Edition)
Save
While not solely focused on concurrency, this book contains invaluable advice on writing robust and well-designed Java code, including sections on concurrency and multithreading. It provides best practices and guidelines for avoiding common pitfalls and writing efficient concurrent programs. It must-read for any serious Java developer.
Effective Java (3rd Edition)
Paperback
Check
Effective Java (3rd Edition)
Kindle Edition
Check

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Rating
4.5 Filled star Filled star Filled star Filled star Half star
Effort
5 total hours
Via
Udemy
Instructors
Andrii Piatakha
Learn IT University
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Covers concurrent programming, which is essential for building high-performance and scalable Java applications, making it highly relevant for developers working on enterprise-level systems
Explores Executor Services in JDK, providing developers with tools to manage threads efficiently and improve application responsiveness, which is a core skill for modern Java development
Discusses Lock API in JDK, enabling fine-grained control over thread synchronization and offering alternatives to traditional synchronized blocks, which is useful for advanced concurrency scenarios
Examines the Fork/Join Framework, which is valuable for parallelizing computationally intensive tasks and improving performance on multi-core processors, making it relevant for high-performance computing
Teaches CompletableFuture, which allows developers to write asynchronous code in a more manageable and composable way, enhancing the responsiveness and scalability of applications
Includes interview preparation, which helps learners apply their knowledge and demonstrate their skills in a professional setting, making it useful for career advancement
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