Concurrency, Multithreading and Parallel Computing in Java

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz Language: English | VTT | Size: 1.98 GB | Duration: 15 section | 92 lectures | (8h 11m) 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 Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

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