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  2. Java concurrency - Wikipedia

    en.wikipedia.org/wiki/Java_concurrency

    To synchronize threads, Java uses monitors, which are a high-level mechanism for allowing only one thread at a time to execute a region of code protected by the monitor. The behavior of monitors is explained in terms of locks ; there is a lock associated with each object.

  3. Thread (computing) - Wikipedia

    en.wikipedia.org/wiki/Thread_(computing)

    A process with two threads of execution, running on one processor Program vs. Process vs. Thread Scheduling, Preemption, Context Switching. In computer science, a thread of execution is the smallest sequence of programmed instructions that can be managed independently by a scheduler, which is typically a part of the operating system. [1]

  4. Concurrent data structure - Wikipedia

    en.wikipedia.org/wiki/Concurrent_data_structure

    Concurrent data structures are significantly more difficult to design and to verify as being correct than their sequential counterparts. The primary source of this additional difficulty is concurrency, exacerbated by the fact that threads must be thought of as being completely asynchronous: they are subject to operating system preemption, page faults, interrupts, and so on.

  5. Java memory model - Wikipedia

    en.wikipedia.org/wiki/Java_memory_model

    Synchronization between threads is notoriously difficult for developers; this difficulty is compounded because Java applications can run on a wide range of processors and operating systems. To be able to draw conclusions about a program's behavior, Java's designers decided they had to clearly define possible behaviors of all Java programs.

  6. Multithreading (computer architecture) - Wikipedia

    en.wikipedia.org/wiki/Multithreading_(computer...

    Thread scheduling is also a major problem in multithreading. Merging data from two processes can often incur significantly higher costs compared to processing the same data on a single thread, potentially by two or more orders of magnitude due to overheads such as inter-process communication and synchronization. [2] [3] [4]

  7. Task parallelism - Wikipedia

    en.wikipedia.org/wiki/Task_parallelism

    In a multiprocessor system, task parallelism is achieved when each processor executes a different thread (or process) on the same or different data. The threads may execute the same or different code. In the general case, different execution threads communicate with one another as they work, but this is not a requirement.

  8. Message passing - Wikipedia

    en.wikipedia.org/wiki/Message_passing

    In computer science, message passing is a technique for invoking behavior (i.e., running a program) on a computer.The invoking program sends a message to a process (which may be an actor or object) and relies on that process and its supporting infrastructure to then select and run some appropriate code.

  9. Thread pool - Wikipedia

    en.wikipedia.org/wiki/Thread_pool

    Deciding the optimal thread pool size is crucial to optimize performance. One benefit of a thread pool over creating a new thread for each task is that thread creation and destruction overhead is restricted to the initial creation of the pool, which may result in better performance and better system stability. Creating and destroying a thread ...