parallel programming


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parallel programming

[′par·ə‚lel ′prō‚gram·iŋ]
(computer science)
A method for performing simultaneously the normally sequential steps of a computer program, using two or more processors.
(electronics)
Method of parallel operation for two or more power supplies in which their feedback terminals (voltage control terminals) are also paralleled; these terminals are often connected to a separate programming source.
References in periodicals archive ?
Orca: A language for parallel programming on distributed systems.
Cilk is a language for multithreaded parallel programming based on C (www.supertech.csail.
Construction of list homomorphisms has gained great interest because of its importance in parallel programming. Barnard et al.
A Web site for the CODE visual parallel programming system is at www.cs.utexas.edu/users/code/Welcome.html.
Furthermore, exploration of enhancements to uniprocessor organization methods to take advantage of parallel programming will contribute to the more difficult problem of making a transition from the current situation, in which serial programming and single-processor computer systems predominate, to having ubiquitous parallel computer systems and, of course, parallel programming.
Objective: Epeecs main goal is to develop and deploy a production-ready parallel programming environment that turns upcoming overwhelmingly-heterogeneous exascale supercomputers into manageable platforms for domain application developers.
Appendices on Python installation, parallel programming using Python with MPI4Py mode, a primer in ImageJ (another Python module) and a discussion of using NumPy module's functions in MATLAB round out this useful volume.
The work is divided into sections covering parallel programming basics, languages for multi-core, heterogeneous processors, and emerging technologies.
It's a fine pick for advanced programming collections where parallel programming is of interest, covering a computing architecture designed to support parallel programs.
Parallel programming, models and applications in grid and P2P systems.
Kirsch said that parallel programming for multicore computers may even require new computer languages.
Message passing is the most effective form of parallel programming, but it is tedious and complex due to the "assembly language level" of parallel programming required.

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