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Implementations of the fork–join model will typically fork tasks, fibers or lightweight threads, not operating-system-level "heavyweight" threads or processes, and use a thread pool to execute these tasks: the fork primitive allows the programmer to specify potential parallelism, which the implementation then maps onto actual parallel execution. [1]
Work stealing is designed for a "strict" fork–join model of parallel computation, which means that a computation can be viewed as a directed acyclic graph with a single source (start of computation) and a single sink (end of computation). Each node in this graph represents either a fork or a join.
These application programming interfaces support parallelism in host languages. Apache Beam; Apache Flink; Apache Hadoop; Apache Spark; CUDA; OpenCL; OpenHMPP
This is a list of Hypertext Transfer Protocol (HTTP) response status codes. Status codes are issued by a server in response to a client's request made to the server. It includes codes from IETF Request for Comments (RFCs), other specifications, and some additional codes used in some common applications of the HTTP. The first digit of the status ...
The POSIX-compatibility component of VM/CMS (OpenExtensions) provides a very limited implementation of fork, in which the parent is suspended while the child executes, and the child and the parent share the same address space. [19] This is essentially a vfork labelled as a fork. (This applies to the CMS guest operating system only; other VM ...
A non-exhaustive list of languages which use or provide concurrent programming facilities: Ada—general purpose, with native support for message passing and monitor based concurrency; Alef—concurrent, with threads and message passing, for system programming in early versions of Plan 9 from Bell Labs
Dask is an open-source Python library for parallel computing.Dask [1] scales Python code from multi-core local machines to large distributed clusters in the cloud. Dask provides a familiar user interface by mirroring the APIs of other libraries in the PyData ecosystem including: Pandas, scikit-learn and NumPy.
The Gunicorn "Green Unicorn" (pronounced jee-unicorn or gun-i-corn) [2] is a Python Web Server Gateway Interface (WSGI) HTTP server. It is a pre-fork worker model, ported from Ruby's Unicorn project. The Gunicorn server is broadly compatible with a number of web frameworks, simply implemented, light on server resources and fairly fast. [3]