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Localization is the process of adapting an application for a specific region or language by adding locale-specific components and translating text.
Such component implements the automation of image construction that would otherwise make the burden and cost too high of considering iteratively adapting an application to use less energy in the software development stage through incremental out-of-band (of normal application operation) test based deployment scenarios.
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So, this section reviews and analyzes some relevant examples of frameworks that allow to adapt an application to work on multi-/many core system (parallelization).
Once those moves are understood, a product like Nolio can allow them to be captured, so that it is possible to rapidly configure and adapt an application or set of applications to changing circumstances.
At present, in most context-aware systems, decisions on when and how to adapt an application are made a priori by developers during the compile time.
This work paves the way for setting up co-design rules helping to calibrate the RAM resource of a hardware platform according to given application's requirements as well as to adapt an application to an existing hardware platform.
In this study, a generic approach for material-supply-driven project planning and control optimization is adapted into an application framework for scheduling the spool fabrication operations.
This paper explores in-between solutions, neither fully automatic nor fully manual ways to adapt a computationally intensive application to the target architecture.
Coarse-grained parallelism is directly related to the performance gains that are achieved by adapting the application from a single-node computer to a multinode cluster.
The purpose of this research was to adapt a theoretically-based computer application (initially developed for English-speaking HIV-positive persons) that will provide linguistically and culturally appropriate tailored health education to Spanish-dominant Hispanics with HIV (HIV + SDH).
First, we concentrate on the nontrivial task of adapting these applications to a manycore, specifically the novel MPPA-256 manycore processor.
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CEO of Professional Science Editing for Scientists @ prosciediting.com