FPGA debugging with MATLAB using a rule–based inference system

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

  • Habib Ul Hasan Khan - , Ruhr University Bochum (Author)
  • Diana Göhringer - , Ruhr University Bochum (Author)

Abstract

This paper presents an FPGA debugging methodology using a rule based inference system. Using this approach, the design stops a device under test (DUT), saves the data to external memory and then starts the DUT again. The saved data is used by MATLAB to debug the system by using a rule-based inference system. Normally, a debug system only displays the monitored data and then the decision making process is left to the user. But a rule-based inference system can be used to make the decision about the correct functionality of the system. The main benefits of this technique are no loss of debugging data due to an unlimited debug window, no use of HDL simulators for waveform viewing and shorter debugging time by using verification by a software technique.

Details

Original languageEnglish
Title of host publicationApplied Reconfigurable Computing
EditorsAntonio Carlos Beck, Luigi Carro , Stephan Wong, Koen Bertels
PublisherSpringer-Verlag
Pages106-117
Number of pages12
ISBN (electronic)978-3-319-56258-2
ISBN (print)978-3-319-56257-5
Publication statusPublished - 2017
Peer-reviewedYes
Externally publishedYes

Publication series

SeriesLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10216 LNCS
ISSN0302-9743

Conference

Title13th International Symposium on Applied Reconfigurable Computing, ARC 2017
Duration3 - 7 April 2017
City Delft
CountryNetherlands

External IDs

ORCID /0000-0003-2571-8441/work/159607546

Keywords

Keywords

  • Cross correlation, Debugging, Device start and stop, Device under test, DSAS, DUT, FPGA, MATLAB, Rule-based inference system, Simulation