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Concurrent and parallel programming languages involve multiple timelines. Such languages provide synchronization constructs whose behavior is defined by a parallel execution model. A concurrent programming language is defined as one which uses the concept of simultaneously executing processes or threads of execution as a means of structuring a ...
Actor programming – concurrent computation with actors that make local decisions in response to the environment (capable of selfish or competitive behaviour) Constraint programming – relations between variables are expressed as constraints (or constraint networks), directing allowable solutions (uses constraint satisfaction or simplex ...
Kotlin, however kotlin.native.concurrent.Future is only usually used when writing Kotlin that is intended to run natively [35] Nim; Oxygene; Oz version 3 [36] Python concurrent.futures, since 3.2, [37] as proposed by the PEP 3148, and Python 3.5 added async and await [38] R (promises for lazy evaluation, still single threaded) Racket [39] Raku [40]
Many concurrent programming languages have been developed more as research languages (e.g. Pict) rather than as languages for production use. However, languages such as Erlang, Limbo, and occam have seen industrial use at various times in the last 20 years. A non-exhaustive list of languages which use or provide concurrent programming facilities:
Simple Concurrent Object-Oriented Programming (SCOOP) Reo Coordination Language; Trace monoids; Some of these models of concurrency are primarily intended to support reasoning and specification, while others can be used through the entire development cycle, including design, implementation, proof, testing and simulation of concurrent systems.
JADE (programming language) Janus (concurrent constraint programming language) Java (programming language) JoCaml; Join-calculus (programming language) Joule (programming language) Joyce (programming language)
The Computer Language Benchmarks Game site warns against over-generalizing from benchmark data, but contains a large number of micro-benchmarks of reader-contributed code snippets, with an interface that generates various charts and tables comparing specific programming languages and types of tests.
Detailed examples of the specification of execution models of a few popular languages include those of Python, [1] the execution model of the Unified Parallel C (UPC) programming language, [2] a discussion of various classes of execution model such as for imperative versus functional languages, [3] and an article discussing execution models for ...