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Concurrency, Multithreading And Parallel Computing In Java Download Now –

Concurrency, Multithreading And Parallel Computing In Java

Multithreading and Concurrent Programming, Parallel Computation and MapReduce in Java + Fork-Be part of and Stream API

What you’ll study

  • Perceive fundamental concurrency
  • Perceive the fundamentals of multithreading
  • Perceive parallel processing
  • In a position to make use of the ideas in actual life eventualities

Necessities

  • Fundamental Java (inheritance, object oriented programming)

Description

This course is in regards to the fundamentals of multithreading and concurrent programming with some parallel ideas. In the twenty first century this subject is turning into an increasing number of well-liked with the arrival of Massive Knowledge and Machine Studying. We’ll contemplate the low stage ideas akin to threads, synchronization and locks. The second chapter shall be about concurrent library: after all there are inbuilt lessons and interfaces that we are able to use when implementing multithreaded functions. Then we develope little applications as present-circumstances for multithreading: the eating-thinker drawback or the scholars in library simulation. Final chapter is about parallel computing and MapReduce.

Part 1 – Multithreading Principle:

  • concept behind multithreading
  • execs and cons of multithreading
  • life cycle of a thead

Part 2 – Threads Manipulation:

  • beginning threads (Runnable interface and Thread class)
  • be part of key phrase
  • daemon threads

Part 3 – Inter-Thread Communication:

  • reminiscence administration of threads
  • synchronization and synchronized blocks
  • locks
  • wait and notify
  • producer-client drawback and answer
  • concurrent collections
  • latch, cyclic barrier and blocking queues
  • delay queue, precedence queue and concurrent maps

Part 4 – Multithreading Ideas:

  • risky key phrases
  • deadlocks and livelocks
  • semaphores and mutexes
  • eating philosophers drawback
  • library utility
  • miner recreation

Part 6 – Executors and ExecutorServices:

  • executors
  • executor providers

Part 6 – Concurrent Collections:

  • latches
  • cyclic limitations
  • delay and precedence queues
  • concurrent HashMaps

Part 7 –  Simulations:

  • eating philosophers drawback
  • library drawback

Part 8 – Parallel Algorithms:

  • what’s parallel computing
  • parallel merge type
  • parallel algorithms

Part 9 – Fork-Be part of Framework

  • Fork-Be part of framework
  • most discovering in parallel method

Part 10 – Stream API

  • the Stream API defined with examples
  • sequential streams and parallel streams

Part 11 – BigData and MapReduce:

  • what’s MapReduce
  • MapReduce and Fork-Be part of framework

Thanks for becoming a member of my course, let’s get began!

Who this course is for:

  • This course is supposed for college kids who wish to get grasp on multithreading in java or simply need a fast refresher

Created by Holczer Balazs
Final up to date 2/2021
English
English [Auto]

Measurement: 1.92 GB

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