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The Java programming language and the Java virtual machine (JVM) is designed to support concurrent programming. All execution takes place in the context of threads. Objects and resources can be accessed by many separate threads. Each thread has its own path of execution, but can potentially access any object in the program.
The staged event-driven architecture (SEDA) refers to an approach to software architecture that decomposes a complex, event-driven application into a set of stages connected by queues. [1] It avoids the high overhead associated with thread -based concurrency models (i.e. locking, unlocking, and polling for locks), and decouples event and thread ...
Even though it is very difficult to further speed up a single thread or single program, most computer systems are actually multitasking among multiple threads or programs. Thus, techniques that improve the throughput of all tasks result in overall performance gains. Two major techniques for throughput computing are multithreading and ...
In computer programming, a thread pool is a software design pattern for achieving concurrency of execution in a computer program. Often also called a replicated workers or worker-crew model , [ 1 ] a thread pool maintains multiple threads waiting for tasks to be allocated for concurrent execution by the supervising program.
Real-time Java is a catch-all term for a combination of technologies that enables programmers to write programs that meet the demands of real-time systems in the Java programming language. Java's sophisticated memory management , native support for threading and concurrency, type safety , and relative simplicity have created a demand for its ...
An interconnect processing unit (IPU) [13] is an on-chip communication network with hardware and software components which jointly implement key functions of different system-on-chip programming models through a set of communication and synchronization primitives and provide low-level platform services to enable advanced features [which?] in ...
Dispatch Queues are objects that maintain a queue of tasks, either anonymous code blocks or functions, and execute these tasks in their turn. The library automatically creates several queues with different priority levels that execute several tasks concurrently, selecting the optimal number of tasks to run based on the operating environment.