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arXiv · 2407.21367

Blink: Fast Automated Design of Run-Time Power Monitors on FPGA-Based Computing Platforms

Andrea Galimberti·Michele Piccoli·Davide Zoni
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Abstract

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.

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Andrea Galimberti, Michele Piccoli, Davide Zoni. 2024-07-31. Blink: Fast Automated Design of Run-Time Power Monitors on FPGA-Based Computing Platforms. https://doi.org/10.1109/icecs61496.2024.10849220

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