Concurrency, Multithreading and Parallel Computing in Java

[mitsumi]

Concurrency, Multithreading and Parallel Computing in Java
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.98 GB
Genre: eLearning Video | Duration: 92 lectures (8 hour, 11 mins) | Language: English
 Multithreading and Concurrent Programming, Parallel Computation and MapReduce in Java + Fork-Join and Stream API

What you'll learn

    Understand basic concurrency
    Understand the basics of multithreading
    Understand parallel processing
    Able to use the concepts in real life scenarios

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 21st 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 - Multithreading Theory:

    theory behind multithreading

    pros and cons of multithreading

    life cycle of a thead

Section 2 - Threads Manipulation:

    starting threads (Runnable interface and Thread class)

    join keyword

    daemon threads

Section 3 - Inter-Thread Communication:

    memory management of threads

    synchronization and synchronized blocks

    locks

    wait and notify

    producer-consumer problem and solution

    concurrent collections

    latch, cyclic barrier and blocking queues

    delay queue, priority queue and concurrent maps

Section 4 - Multithreading Concepts:

    volatile keywords

    deadlocks and livelocks

    semaphores and mutexes

    dining philosophers problem

    library application

    miner game

Section 6 - Executors and ExecutorServices:

    executors

    executor services

Section 6 - Concurrent Collections:

    latches

    cyclic barriers

    delay and priority queues

    concurrent HashMaps

Section 7 -  Simulations:

    dining philosophers problem

    library problem

Section 8 - Parallel Algorithms:

    what is parallel computing

    parallel merge sort

    parallel algorithms

Section 9 - Fork-Join Framework

    Fork-Join framework

    maximum finding in parallel manner

Section 10 - Stream API

    the Stream API explained with examples

    sequential streams and parallel streams

Section 11 - BigData and MapReduce:

    what is MapReduce

    MapReduce and Fork-Join framework

Thanks for joining my course, let's get started!

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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