Java Multithreading , Concurrency Parallel Programming 2e

Java Multithreading , Concurrency & Parallel Programming 2/e, available at $54.99, has an average rating of 4.5, with 96 lectures, based on 108 reviews, and has 927 subscribers.

You will learn about Mastering Concurrency and Multi threading in Java Basics of Multithreading & Concurrency Advanced Multithreading & Concurrency Parallel Programming and algorithm practices This course is ideal for individuals who are Students or Working professionals who wants to advance their Multithreading concepts or Students or Working professionals who wants to practice multi threading and parallel algorithms It is particularly useful for Students or Working professionals who wants to advance their Multithreading concepts or Students or Working professionals who wants to practice multi threading and parallel algorithms.

Enroll now: Java Multithreading , Concurrency & Parallel Programming 2/e

Summary

Title: Java Multithreading , Concurrency & Parallel Programming 2/e

Price: $54.99

Average Rating: 4.5

Number of Lectures: 96

Number of Published Lectures: 96

Number of Curriculum Items: 96

Number of Published Curriculum Objects: 96

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Mastering Concurrency and Multi threading in Java

Basics of Multithreading & Concurrency

Advanced Multithreading & Concurrency

Parallel Programming and algorithm practices

Who Should Attend

Students or Working professionals who wants to advance their Multithreading concepts

Students or Working professionals who wants to practice multi threading and parallel algorithms

Target Audiences

Students or Working professionals who wants to advance their Multithreading concepts

Students or Working professionals who wants to practice multi threading and parallel algorithms

BEST in Class course for programmers to learn multitasking, MultiThreading and Parallel programming paradigm.

Objective :

Computers can execute more than one statements at a time this is called parallel processing. These days when there are multi core processors are easily available programmers should defiantly take advantage of parallel programming for scalable and highly performing and responsive application. This is only possible using Multi Threading programming.

Multi threading programming comes with certain complexities and sometimes difficult to program. This objective of this course is make to enable –

1. Basic Multi Threading

2. Advanced Multi threading

3. Multi Processing

4. Concurrent Collections

5. Parallel algorithms.

6. Asynchronous Programming using Completed Future

7. Parallel Streams for Faster processing of Collections.

If you are able to learn these concepts – you will be able to create applications, ready to scale and highly responsive.

We will start from very basics and will deep dive into the very advanced concepts.

We will start from basics by understanding –

Introduction To Multitasking and Multihreading

Creating Thread and Understanding Its Life

Threading API

Then we will move further to challenges associated with –

Concurrency Challenges

Concurrency Challenges &  Race Conditions

Further we will discuss into solutions to the challenges

Achieving Mutual Exclusion or Solving he challenges

Liveness Problems

The we will move into some related concepts

Daemon Threads

Further in the discussion we will move to some advanced concepts related to MultiThreading –

Advanced Multithreading

             Thread Groups

             Thread Pool and Executors

             Thread Local

              Callable and Future

The we will discuss Concurrent Collections and Concurrent Utilities

            Need of Concurrent Collections

            Concurrent Modification Exception

            How Concurrent Collection Solved the problems

            ConncurentHashMap Hierarchy and Methods

            ConncurentHashMap internal Implementation

            ConncurentHashMap in Multithreading Environment Program Demo

            CopyonWrite ArrayList

            CopyOnWriteArrayList – Constructors and Methods

            CopyOnWriteArraySet

            Count Down Lache

            Cyclic Barrier

            Blocking Queue

             Exchangers

             Semphores

Then  we will write and solve some Algorithms using parallel processing

             Multi Processing and Parrlel Comutin Algorithums

             Implementing a Multithreading Chat Serer

We will also Discuss CompletableFuture is used for asynchronous programming in Java.

Hope you will enjoy the journey – please don’t forgot to ask questions in Q&A and we will respond as quickly as possible.

Last but not least – you got an option to return back the course within 30 days it you find it does not fulfill your needs

See you in the Course and Happy Learning

Best ,

Mohit

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction To Multitasking and MultiThreading

Lecture 1: Section Introduction

Lecture 2: Multitasking and Multithreading

Lecture 3: What is Thread ? My Multithreading ?

Chapter 3: Creating Thread Thread Scheduler and Understanding the lifecycle of a Thread

Lecture 1: Section Introduction

Lecture 2: Creating Thread | Different Ways

Lecture 3: Thread Scheduler and Thread Life Cycle

Chapter 4: MultiThreading API and Lifecycle Methods

Lecture 1: Section Introduction

Lecture 2: Thread Name and Thread Priorities

Lecture 3: Yield Method

Lecture 4: Join Method

Lecture 5: Sleep Method

Lecture 6: Interrupting Threads

Lecture 7: Summary

Chapter 5: Concurrency Challenges & Race Conditions

Lecture 1: Section Introduction

Lecture 2: Memory Areas and data Sharing among threads

Lecture 3: Race Condition,Data Race Atomic and Non-Atomic operations

Lecture 4: Facing the challenges

Lecture 5: Summary

Chapter 6: Achieving Mutual Exclusion or Solving the challenges

Lecture 1: Section Introduction

Lecture 2: Critical section, Implicit Locking with Synchronized Keyword

Lecture 3: Implicit locking with Synchronized Methods

Lecture 4: Implicit locking with Synchronized block

Lecture 5: Wait,Notify,NotifyAll | Inter-Thread Communication

Lecture 6: Explicit Lock- Lock Interface

Lecture 7: Explicit Lock- ReentrantLock class

Lecture 8: Thread Safety and Immutable Classes

Lecture 9: Summary

Chapter 7: Liveness Problems | DeadLock | Starvation | LiveLock

Lecture 1: Section Introduction

Lecture 2: Deadlock,starvation,livelock

Chapter 8: Daemon Threads

Lecture 1: Daemon Threads

Chapter 9: More MultiThreading | ThreadGroups | Executors | ThreadPool | Callable | Future

Lecture 1: Section Introduction

Lecture 2: Thread Groups

Lecture 3: Custom Thread Groups

Lecture 4: Thread Pool – Executor Framework

Lecture 5: Executor Framework Callable

Lecture 6: Callable and Futures

Lecture 7: Thread Local

Lecture 8: Section Summary

Chapter 10: Concurrent Collections And Concurrent Utilities

Lecture 1: Section Introduction

Lecture 2: Need of Connecurent Collections

Lecture 3: Conncurent Modification

Lecture 4: How Conncurent Collection Solved the problems

Lecture 5: ConncurentHashMap Hierarchy and Methods

Lecture 6: ConncurentHashMap internal Implementation

Lecture 7: ConncurentHashMap in Multi-threading Environment Program Demo

Lecture 8: CopyonWrite ArrayList

Lecture 9: CopyOnWriteArraySet

Lecture 10: Count Down Latch

Lecture 11: Cyclic Barrier

Lecture 12: Blocking Queue

Lecture 13: Exchangers

Lecture 14: Semphores

Lecture 15: Summary

Chapter 11: Streams , Parallel Streams and Fork Join Pool

Lecture 1: Section Introduction

Lecture 2: Streams basics code to get familiar with Syntax

Lecture 3: Stream – Filter() and Map() Methods

Lecture 4: More on Methods in Streams

Lecture 5: More on Streams

Lecture 6: Parallel Streams and Multithreading under the Hood

Lecture 7: Sequential vs Parallel streams performance Comparison

Lecture 8: Fork join pool,Parallel Streams on the way to achieve Concurrency

Lecture 9: Deciding On Number Of Threads

Lecture 10: Streams Summary

Chapter 12: Non Blocking Processing with CompletableFuture and Lazy Evaluation

Lecture 1: See Beyond Future

Lecture 2: Data and Error Channel

Lecture 3: Complete,completeOnTimeout ,or Timeout or States of CF

Lecture 4: Join equivalent – thenCombine

Lecture 5: Some Important Methods

Chapter 13: Multi Processing and Parallel Computing Algorithms

Lecture 1: Section Introduction

Lecture 2: Sequential vs Parallel Algorithms

Lecture 3: Divide and Conquer

Lecture 4: Fork Join Algorithm and Fork join pool

Chapter 14: Appendix | Lambda If you have not used

Lecture 1: Section Introduction

Lecture 2: Lambda Introduction

Lecture 3: Write Lambda Expression

Lecture 4: Functional Interfaces

Lecture 5: Invoke Lambda

Lecture 6: Few more Examples of invoking Lambda -1

Lecture 7: Few more Examples of invoking Lambda -2

Lecture 8: Few more Examples of invoking Lambda -3

Lecture 9: Few more Examples of invoking Lambda -4

Lecture 10: Few more Examples of invoking Lambda -5

Lecture 11: Lambda Summary

Lecture 12: Lambda with Collections

Lecture 13: Copmarator – Lambda

Instructors

Basics Strong
Team of technocrats and Programming lovers

Rating Distribution

1 stars: 6 votes

2 stars: 12 votes

3 stars: 16 votes

4 stars: 27 votes

5 stars: 47 votes

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