Master Parallel Computing and Multithreading in Java

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

The mood in the meeting on the 12th floor of an international investment bank was as bleak as it gets. The developers of the firm met to discuss the best way forward after a critical core application failed and caused a system wide outage.

What you’ll 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..

Course Content

  • Introduction –> 3 lectures • 13min.
  • Creating Threads and Processes –> 3 lectures • 28min.
  • Memory Sharing between Threads –> 3 lectures • 19min.
  • Thread Synchronization with Mutexes –> 3 lectures • 20min.
  • Waiting for Completed tasks using Joins –> 3 lectures • 20min.
  • Synchronization using Condition Variables –> 4 lectures • 30min.
  • Barriers Explained –> 5 lectures • 37min.
  • Communication using Message passing –> 4 lectures • 40min.
  • Thread Pools –> 6 lectures • 35min.
  • Avoiding Deadlocks –> 8 lectures • 1hr 3min.
  • Atomic Variables –> 2 lectures • 16min.
  • Spinning Locks –> 5 lectures • 37min.

Master Parallel Computing and Multithreading in Java

Requirements

  • Some experience of programming in Java. It helps if you know how to use java common collections (maps and lists) and have basic knowledge of using anonymous functions..
  • Recent version of Java installed..
  • Being able to do 150 sit ups while shouting the Fibonacci sequence in reverse down to 1 on each rep (just kidding)..

The mood in the meeting on the 12th floor of an international investment bank was as bleak as it gets. The developers of the firm met to discuss the best way forward after a critical core application failed and caused a system wide outage.

 

“Guys, we have a serious issue here. I found out that the outage was caused by a race condition in our code, introduced a while ago and triggered last night.” says Mark Adams, senior developer.

 

The room goes silent. The cars outside the floor to ceiling windows slowly and silently creep along in the heavy city traffic. The senior developers immediately understand the severity of the situation, realizing that they will now be working around the clock to fix the issue and sort out the mess in the datastore. The less experienced developers understand that a race condition is serious but don’t know exactly what causes it and therefore keep their mouths shut.

 

Eventually Brian Holmes, delivery manager, breaks the silence with “The application has been running for months without any problems, we haven’t released any code recently, how is it possible that the software just broke down?!”

 

Everyone shakes their heads and goes back to their desk leaving Brian in the room alone, puzzled. He takes out his phone and googles “race condition”.

 

Sound familiar? How many times have you heard another developer talking about using threads and concurrent programming to solve a particular problem but out of fear you stayed out of the discussion?

 

Here’s the little secret that senior developers will never share… Multithreading and Multiprocessing programming is not much harder than normal programming. Developers are scared of concurrent programming because they think it is an advanced topic that only highly experienced developers get to play with.

 

This is far from the truth. Our minds are very much used to dealing with concurrency. In fact we do this in our everyday life without any problem but somehow we struggle to translate this into our code. One of the reasons for this is that we’re not familiar with the concepts and tools available to us to manage this concurrency. This course is here to help you understand how to use multithreading and multiprocessing tools and concepts to manage your parallel programming. It is designed to be as practical as possible. We start with some theory around parallelism and then explain how the operating system handles multiple processes and threads. Later we move on to explain the multiple tools available by solving example problems using concurrent programming.

 

In this course we use the Java language, however the concepts learned here can be applied to most programming languages.

 

All code in this course can be found on github, username/project: cutajarj/multithreadinginjava