Joint undervolting and overclocking power scaling approximation on FPGAs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

For applications in signal processing, Field Programmable Gate Arrays (FPGAs) are more flexible than Application Specific Integrated Circuits (ASICs), yet reconfigurable and still power and energy efficient to a degree. Undervolting and overclocking are approximate computing techniques that can further save power and energy, closing the efficiency gap by reducing the static/dynamic power and potentially speeding up the computation. However, these techniques may introduce bit level faults, which affect not only the computational correctness but also the security of the hardware. Understanding these fault behaviors provides necessary information for approximate implementation in low-power and secure design. In this work, we investigate joint undervolting and overclocking of AXI peripherals, specifically on-chip AXI memory access, using different commercial Xilinx Ultrascale+ heterogeneous MPSoCs with practical data movement between the ARM processor and the FPGA. Through experimental study we have observed fine-grained bit-flipping patterns when the voltage and clock are tuned beyond certain thresholds. By judging the probability of bit-flipping in terms of bit error rate, we propose a guideline for a balanced choice of voltage and frequency.
Original languageEnglish
Title of host publication2022 Sensor Signal Processing for Defence Conference (SSPD)
PublisherIEEE
ISBN (Electronic)9781665483483
DOIs
Publication statusPublished - 23 Sep 2022
Event11th International Conference in Sensor Signal Processing for Defence: from Sensor to Decision 2022 - London, United Kingdom
Duration: 13 Sep 202214 Sep 2022

Conference

Conference11th International Conference in Sensor Signal Processing for Defence: from Sensor to Decision 2022
Abbreviated titleSSPD 2022
Country/TerritoryUnited Kingdom
CityLondon
Period13/09/2214/09/22

Keywords

  • Approximate Computing
  • FPGA
  • Overclock
  • Undervolting

ASJC Scopus subject areas

  • Instrumentation
  • Artificial Intelligence
  • Computer Networks and Communications
  • Signal Processing
  • Safety, Risk, Reliability and Quality
  • Acoustics and Ultrasonics

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