FPGA-implementation techniques to efficiently test application readiness of mixed-signal products

Gabriel Rutsch, Konrad Maier, Wolfgang Ecker

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present FPGA-implementation techniques to efficiently validate application readiness of a product for analog/mixed-signal (AMS) applications that lead to a reduction of overall runtime by two orders of magnitude on the example of a power conversion application compared to state-of-the-art simulation based approaches. Further, we use this example to analyze area utilization, timing impact and scalability at increased application complexity. The open source synthesizable model generator for mixed-signal blocks msdsl is extended to support reconfigurable variables within a model description. Further, the control API of the open source FPGA prototyping automation anasymod is enhanced to allow updating these variable values on FPGA at runtime. The end-result is a unique framework for application scenario driven product validation that to our knowledge for the first time allows reconfiguration of analog dynamics on FPGA at runtime and leverages benchmark AMS system simulation throughput on FPGA to enables fast system property sweeping at different modeling abstractions.

Original languageEnglish
Title of host publication2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration, VLSI-SoC 2023
PublisherIEEE Computer Society
ISBN (Electronic)9798350325997
DOIs
StatePublished - 2023
Externally publishedYes
Event31st IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2023 - Dubai, United Arab Emirates
Duration: 16 Oct 202318 Oct 2023

Publication series

NameIEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC
ISSN (Print)2324-8432
ISSN (Electronic)2324-8440

Conference

Conference31st IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2023
Country/TerritoryUnited Arab Emirates
CityDubai
Period16/10/2318/10/23

Keywords

  • FPGA
  • hardware emulation
  • mixed-signal emulation
  • product validation

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