parallelizing

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parallelizing

To generate instructions for a parallel processing computer. See parallel computing.
References in periodicals archive ?
Appian, a leading Low-Code and Business Process Management platform provider, announced today the latest version of the Appian platform with patent pending intelligent and automatic parallelization for multi-core processing.
Subsequent contributions are arranged in sections on algorithms, automatic parallelization, cloud computing, GPU applications, heterogeneous computing, high performance applications, languages, multicores, and performance modeling, among other topics.
From identifying good opportunities for using parallelism to sharing data and using automatic parallelization, this provides C programmers with a wide range of multicore ideas applicable to a range of operating systems.
The 79 papers in this collection from the September 2006 conference present recent research on parallel system architecture and modeling, grids, automatic parallelization, reconfigurable computing, performance monitoring, parallel numerics, image and signal processing, and electrical engineering applications.
Automatic parallelization technology preserves the familiar workflow while tackling data sets orders of magnitude larger than they process on their desktops.
With automatic parallelization and interactive execution of existing desktop simulation applications, Star-P merges two previously distinct environments -- desktop computers and high performance servers -- into one.
Tokyo, Japan, Dec 19, 2005 - (JCN Newswire) - NEC Corporation today announced that it has succeeded in the development of multicore processor technology capable of performing automatic parallelization of application programs, without modifying them.
As program development environment, language compilers which perform automatic parallelization and automatic vectorization, such as Fortran90, HPF, C, and C++ are also provided, as well as message passing library MPI2 and mathematical library ASL/ES.
The javar program supports user-specified parallelism, and javab performs automatic parallelization.
Approaches to the automatic parallelization of procedural languages (for example, the Parascope system of Rice University) like Fortran have already proved highly successful but have been shown to require user interaction.
Star-P enables automatic parallelization and interactive execution of existing desktop simulation applications on high-performance computers.

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