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To validate the temporal behavior of an application, we have to take into account its scheduling on the execution support.
The requirement specifies the intended behavior of an application while the architecture specifies the guarantees (e.g. execution speed, failure rate etc).
One of the potential benefits is that software developers are able to optimize the power behavior of an application by adjusting its source code implementations.
The existing techniques which consider uniformly distributed random data may not exploit the exact data behavior of an application and hence can give inferior performance results.
To demonstrate the framework, we show its usefulness in refining the organization of custom WCFPs to better match the execution behavior of an application.
Parallel performance tools offer insights into the execution behavior of an application and are a valuable component in the cycle of application development, deployment, and optimization.
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Due to the system-level abstraction, IDEA1 can quickly model the behaviors of an application based on a certain hardware platform at different timing-accurate levels, which accelerates the model development and simulation speed.
However, knowledge of long-term behavior for an application in construction practice was missing.
A comparison of state-of-the-art scheduling algorithms is next performed using an A-Cube performance model that has been suggested to study the behavior of an algorithm, application and architecture in the presence of heterogeneity.
Architecture-based analysis, which seeks to assess the behavior of a software application taking into consideration the behavior of its parts and the interactions among the parts is thus essential.
There is a certain degree of difficulty in developing and understanding the diagrams used for representing the dynamic behavior of a software application, specified in the Unified Modeling Language (UML).
More suggestions(15)
behavior of an inability
behavior of an energy
behavior of an attractor
behavior of an event
behavior of an evolving
behavior of an equation
behavior of an octopus
behavior of an area
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behavior of an opponent
behavior of an information
behavior of an animal
behavior of an addict
behavior of an orthotropic
behavior of an artificial-intelligence
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com