Multithreading and Parallel Computing in Java

What you'll learn:

Requirements:

• Basic Java (inheritance, object oriented programming)

Description:

This course is about the basics of multithreading and concurrent programming with some parallel concepts. In the 21th century this topic is becoming more and more popular with the advent of Big Data and Machine Learning. We will consider the low level concepts such as threads, synchronization and locks. The second chapter will be about concurrent library: of course there are built in classes and interfaces that we can use when implementing multithreaded applications. Then we develope little programs as show-cases for multithreading: the dining-philosopher problem or the students in library simulation. Last chapter is about parallel computing and MapReduce. 

Section 1:

• theory behind multithreading

• pros and cons of multithreading

Section 2:

• multithreading basics

• Runnable and Thread

• join, volatile, synchronized, wait and notify

• producer-consumer model

• locks, semaphores and executors

Section 3:

• concurrent collections

• latch, cyclic barrier and blocking queues

• delay queue, priority queue and concurrent maps

Section 4:

• multithreaded examples

• dining philosophers problem

• library application

• miner game

Section 5:

• what is parallel computing

• parallel merge sort

• parallel algorithms

Section 6:

• Fork-Join framework

• maximum finding in parallel manner

Section 7:

• what is MapReduce

• MapReduce and Fork-Join framework

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Who this course is for:

• This course is meant for students who want to get a good grasp on multithreading in java or just want a quick refresher
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Course Details:

Multithreading and Parallel Computing in Java udemy courses free download

Multithreading and Concurrent Programming, Parallel Computation and MapReduce in Java