parallelizing


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Related to parallelizing: Parallelizing compiler, Parallelisation

parallelizing

To generate instructions for a parallel processing computer. See parallel computing.
References in periodicals archive ?
In this paper it has been made an in depth analysis of the key aspects that carry significant weight when deciding to parallelize a certain part of an application: the analysis phase of the application that is about to be parallelized; the amount of time involved to achieve the implementation; the feasibility of parallelizing the source code; situations when one should aim for central processing units optimization techniques that yield better performance on sequential source code rather than parallelizing the whole algorithm.
Instead they are looking to their service providers for assistance in parallelizing their code for optimum performance".
According to the company, SOAPSimulator enables SOA professionals to mimic producer services before they are deployed, which allows for compressed project timelines by parallelizing client and server development tasks.
Star-P is an interactive parallel computing platform that will enable TARDEC scientists to use their existing serial models developed in C or FORTRAN languages, automatically parallelizing the code run on parallel servers or clusters.
Object storage provides a new way of distributing and parallelizing file systems to support highly scalable configurations--precisely those needed by cluster computing systems.
These simulations would not have been possible without parallelizing the algorithm.
Applications include parallelizing compilers for object-oriented programming languages, distributed implementation of computer chess, parallel and distributed algorithm performance analysis, debugging and visualization, and implementation of mobile agents.
This article presents our experience using optimistic synchronization to implement fine-grain atomic operations in the context of a parallelizing compiler for irregular, object-based computations.
This article presents a new analysis technique, commutativity analysis, for automatically parallelizing computations that manipulate dynamic, pointer-based data structures.
His interests are in processor architecture, optimizing and parallelizing compilers, application performance, and high performance computing systems.
In this study, we focus on parallelizing a whole application that first compresses input video and then encrypts it for privacy protection.
Performance information is critical for most software development tools, including performance analysis tools, auto-parallelizing compilers, and other parallelizing tools.