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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.
Written in C++ and published under an MIT license, HiGHS provides programming interfaces to C, Python, Julia, Rust, R, JavaScript, Fortran, and C#. It has no external dependencies. A convenient thin wrapper to Python is available via the highspy PyPI package. Although generally single-threaded, some solver components can utilize multi-core ...
The Multicore Association was founded in 2005. Multicore Association is a member-funded, non-profit , industry consortium focused on the creation of open standard APIs , specifications , and guidelines that allow system developers and programmers to more readily adopt multicore technology into their applications .
Even though it is very difficult to further speed up a single thread or single program, most computer systems are actually multitasking among multiple threads or programs. Thus, techniques that improve the throughput of all tasks result in overall performance gains. Two major techniques for throughput computing are multithreading and ...
The Multicore Communications API (MCAPI) is the first specification to be produced by the Multicore Association. MCAPI provides a standardized API for communication and synchronization between closely distributed (multiple cores on a chip and/or chips on a board) embedded systems .
Texas Multicore Technologies: 1989 2012 2.4 10 February 2016: Free (Community Edition), $2495 (Professional Edition) Proprietary: Functional programming language and tools. [Note 3] S-Lang: John E. Davis 1992 2.3.0 18 September 2014: Free GPL, Artistic License (1.x only) Available as a standalone (slsh) and embedded interpreter (jed, slrn ...
Python is a high-level, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation. [33] Python is dynamically type-checked and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional ...
The core is the computing unit of the processor and in multi-core processors each core is independent and can access the same memory concurrently. Multi-core processors have brought parallel computing to desktop computers. Thus parallelization of serial programs has become a mainstream programming task.