Multithreading and Parallel Computing in Java

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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