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The integrated core selection and mapping problem takes as input the application task graph, topology graph and a core library.
The system is an integration of an electronics box mounted on the tractor, and a software that acquires and analyzes data from the application task.
(i activity diagrams are a natural view for presenting control and data flow between functional elements of the application, (ii)activity diagrams have enough expression power to present the application task network of the workload model, (iii)reuse of activity diagrams created for describing task-level behaviour becomes possible.
If a Mapper does not spend relatively more computation time (compared with the time spent on the system maintenance, as indicated above) on the major part of the application task at each iteration (i.e., less than 30 seconds in our case), the speed-up effect will be limited.
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A software implementation of the proposed scheduling strategies will then delay the application tasks.
Thereafter, a remapping of the application tasks was performed since the workload of the processors was clearly imbalanced.
Mapping the application tasks to the hybrid machine is not trivial, and bottlenecks can arise quite easily.
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.
Then, after performing the code transformation step described in the last section, the execution of the application tasks are simulated using the STORM environment.
Workloads are characterized according to the connectivity, heterogeneity, and communication-to-cost ratio of the task graphs representing the application tasks.
The task scheduling submodule produces a scheduling solution for the application tasks mapped onto the architecture cores and then queries the ABC submodule to evaluate the cost of the proposed solution.
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