Blink: Fast Automated Design of Run-Time Power Monitors on FPGA-Based Computing Platforms
<|reference_start|>Blink: Fast Automated Design of Run-Time Power Monitors on FPGA-Based Computing Platforms: The current over-provisioned heterogeneous multi-cores require effective run-time optimization strategies, and the run-time power monitoring subsystem is paramount for their success. Several state-of-the-art methodologies address the design of a run-time power monitoring infrastructure for generic computing platforms. However, the power model's training requires time-consuming gate-level simulations that, coupled with the ever-increasing complexity of the modern heterogeneous platforms, dramatically hinder the usability of such solutions. This paper introduces Blink, a scalable framework for the fast and automated design of run-time power monitoring infrastructures targeting computing platforms implemented on FPGA. Blink optimizes the time-to-solution to deliver the run-time power monitoring infrastructure by replacing traditional methodologies' gate-level simulations and power trace computations with behavioral simulations and direct power trace measurements. Applying Blink to multiple designs mixing a set of HLS-generated accelerators from a state-of-the-art benchmark suite demonstrates an average time-to-solution speedup of 18 times without affecting the quality of the run-time power estimates.<|reference_end|>
@article{galimberti2024blink:,
    title={Blink: Fast Automated Design of Run-Time Power Monitors on FPGA-Based
  Computing Platforms},
    author={Andrea Galimberti, Michele Piccoli, Davide Zoni},
    journal={arXiv preprint arXiv:2407.21367},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.21367},
    primaryClass={cs.AR}
}