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These application programming interfaces support parallelism in host languages. Apache Beam; Apache Flink; Apache Hadoop; Apache Spark; CUDA; OpenCL; OpenHMPP; OpenMP for C, C++, and Fortran (shared memory and attached GPUs) Message Passing Interface for C, C++, and Fortran (distributed computing) SYCL
A concise reference for the programming paradigms listed in this article. Concurrent programming – have language constructs for concurrency, these may involve multi-threading, support for distributed computing, message passing, shared resources (including shared memory), or futures
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.
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 ...
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]
Python 2.5 implements better support for coroutine-like functionality, based on extended generators Python 3.3 improves this ability, by supporting delegating to a subgenerator ( PEP 380 ) Python 3.4 introduces a comprehensive asynchronous I/O framework as standardized in PEP 3156 , which includes coroutines that leverage subgenerator delegation
Individual machine languages are specific to a family of processors; machine-language code for one family of processors cannot run directly on processors in another family unless the processors in question have additional hardware to support it (for example, DEC VAX processors included a PDP-11 compatibility mode).
This does not mean that there is no point in multithreading; ... The support status of Python in the table refers to support from the Python core team, and not from ...