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- W4313496612 abstract "Heterogeneous platforms, that integrate CPU and FPGA-based processing units, are emerging as a promising solution for accelerating various applications in the embedded system domain. However, in this context, so far, comprehensive studies that combine theoretical features of real-time task scheduling with practical runtime architectural characteristics have mostly been ignored. To fill this gap, in this paper we propose a real-time scheduling algorithm with the objective of minimizing the overall execution time under hardware resource constraints for heterogeneous CPU+FPGA architectures. In particular, we propose an Integer Linear Programming (ILP) based technique for task allocation and scheduling. We then show how to implement a given scheduling on a practical CPU+FPGA system regarding current technology restrictions and validate our methodology using a practical RISC-V case-study. Our experiments demonstrate that performance gains of 40 % and area usage reductions of 67 % are possible compared to a full software and hardware execution, respectively." @default.
- W4313496612 created "2023-01-06" @default.
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- W4313496612 date "2022-08-01" @default.
- W4313496612 modified "2023-10-16" @default.
- W4313496612 title "Task Mapping and Scheduling in FPGA-based Heterogeneous Real-time Systems: A RISC-V Case-Study" @default.
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- W4313496612 doi "https://doi.org/10.1109/dsd57027.2022.00027" @default.
- W4313496612 hasPublicationYear "2022" @default.
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