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This article lists concurrent and parallel programming languages, categorizing them by a defining paradigm.Concurrent and parallel programming languages involve multiple timelines.
This type of multithreading is known as block, cooperative or coarse-grained multithreading. The goal of multithreading hardware support is to allow quick switching between a blocked thread and another thread ready to run. Switching from one thread to another means the hardware switches from using one register set to another.
PHP—multithreading support with parallel extension implementing message passing inspired from Go [15] Pict—essentially an executable implementation of Milner's π-calculus; Raku includes classes for threads, promises and channels by default [16] Python — uses thread-based parallelism and process-based parallelism [17]
A few interpreted programming languages have implementations (e.g., Ruby MRI for Ruby, CPython for Python) which support threading and concurrency but not parallel execution of threads, due to a global interpreter lock (GIL). The GIL is a mutual exclusion lock held by the interpreter that can prevent the interpreter from simultaneously ...
It is also supported by the Java concurrency framework, [7] the Task Parallel Library for .NET, [8] and Intel's Threading Building Blocks (TBB). [1] The Cilk programming language has language-level support for fork and join, in the form of the spawn and sync keywords, [4] or cilk_spawn and cilk_sync in Cilk Plus. [1]
"Practical Threaded Programming with Python: Thread Pools and Queues" by Noah Gift "Optimizing Thread-Pool Strategies for Real-Time CORBA" by Irfan Pyarali, Marina Spivak, Douglas C. Schmidt and Ron Cytron "Deferred cancellation. A behavioral pattern" by Philipp Bachmann "A C++17 Thread Pool for High-Performance Scientific Computing" by Barak ...
Cooperative multitasking is similar to async/await in languages, such as JavaScript or Python, that feature a single-threaded event-loop in their runtime. This contrasts with cooperative multitasking in that await cannot be invoked from a non-async function, but only an async function, which is a kind of coroutine .
Single instruction, multiple threads (SIMT) is an execution model used in parallel computing where single instruction, multiple data (SIMD) is combined with multithreading. It is different from SPMD in that all instructions in all "threads" are executed in lock-step.