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The execution of an application may require different execution environments depending on the application characteristics and underlying resources.
As other publisher services, they implement the push-publisher interface so they can halt the execution of an application manifest until a response from a user is received.
Multicore architectures are increasingly used in an embedded system, in order to speed up the execution of an application and to perform energy saving.
It instructs the compiler to organize parallel sections of code in a specific manner, and helps to parallelize execution of an application.
The advantage to exploit a multicore platform on FPGA is given by the possibility to configure exactly what is needed for the execution of an application.
Therefore, we propose a scheduling algorithm that may be performed before the execution of an application in order to compute a non-blocking schedule of periodic message transfers.
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A persistence mechanism provides data storage between separate executions of an application.
Parallel execution improves the execution time of an application but it increases power consumption and hardware cost [32].
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.
To demonstrate the framework, we show its usefulness in refining the organization of custom WCFPs to better match the execution behavior of an application.
Given these metrics and the number of executed instructions in the application and the processor's operating frequency, the overall energy consumption and execution time of an application is obtained.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com