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This article lists various languages that support concurrency and parallelism, categorizing them by a defining paradigm. Concurrency and parallelism involve multiple timelines and synchronization constructs, and are useful for expressing programs that run on more than one processor.
A thread is the smallest sequence of programmed instructions that can be managed independently by a scheduler, which is typically a part of the operating system. Learn about the history, related concepts, and implementation of threads and processes in computer science.
Learn about the ability of a CPU to provide multiple threads of execution and the advantages and disadvantages of different types of multithreading. Compare interleaved, coarse-grained, fine-grained and simultaneous multithreading with examples and hardware support.
A thread pool is a software design pattern that maintains multiple threads for executing tasks concurrently. Learn about the benefits, performance, and challenges of using a thread pool, and see related concepts and examples.
A task is a unit of execution or a unit of work in computing, with different meanings and usages depending on the context. Learn how tasks are related to processes, threads, steps, requests, queries, and more in various operating systems and programming languages.
A green thread is a thread that is scheduled by a runtime library or virtual machine instead of the operating system. Learn about the history, performance, and languages that use green threads or their equivalents.
Threaded code is a programming technique where the code consists of calls to subroutines. It is used in compilers, interpreters, and small programs to save memory and improve performance. Learn the history, variations, and examples of threaded code.
A semaphore is a variable or data type used to control access to a common resource by multiple threads in a concurrent system. Learn the history, operations, examples, and applications of semaphores in computer science.