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In order to efficiently execute these applications, the dynamic memory subsystem needs to be optimized.
Because most DSP applications contain many nested loops and permit a very high degree of parallelism, the DSP multiprocessor has a suitable architecture to execute these applications.
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When executed, these applications are split into many instruction flows (threads) that will be processed by the architecture's cores.
The MPSoC is supposed to effectively execute the applications concurrently using the system under set of constraints.
Finally, the scripts that execute the application in the real-time system are automatically generated.
The objective is to identify the best configurations choices of multiprocessor on the FPGA for a target application and optimally execute the application tasks with appropriate communication links.
The design must be transparent to the application and transport layer of nodes executing the applications.
While delivering virtual resources for executing the applications, the user's Quality of Service requirements must be ensured.
These cards may execute parallel applications built in C/C++ and compiled with the Tile-GCC compiler.
Thus, heterogeneous execution may yield better performance than executing the application only on a CPU or only on a GPU.
The node manager then launches a container which executes the application process.
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