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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.
McGraw-Hill Dictionary of Scientific & Technical Terms, 6E, Copyright © 2003 by The McGraw-Hill Companies, Inc.
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References in periodicals archive
Orca: A language for parallel programming on distributed systems.
A Task- and Data-Parallel Programming Language Based on Shared Objects
Construction of list homomorphisms has gained great interest because of its importance in parallel programming. Barnard et al.
Formal derivation of efficient parallel programs by construction of list homomorphisms
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.
Can parallel algorithms enhance serial implementation?
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.
Image Processing and Acquisition Using Python
The work is divided into sections covering parallel programming basics, languages for multi-core, heterogeneous processors, and emerging technologies.
Fundamentals of multicore software development
It's a fine pick for advanced programming collections where parallel programming is of interest, covering a computing architecture designed to support parallel programs.
Addison Wesley
Parallel programming, models and applications in grid and P2P systems.
Parallel programming, models and applications in grid and P2P systems
Kirsch said that parallel programming for multicore computers may even require new computer languages.
SUPERCOMPUTERS GAIN MORE PERFORMANCE VIA MULTICORE COMPUTING
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