Multithreading and Parallel Computing in Java

Description :

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