FPGA debugging with MATLAB using a rule–based inference system
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
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
Originalsprache | Englisch |
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Titel | Applied Reconfigurable Computing |
Redakteure/-innen | Antonio Carlos Beck, Luigi Carro , Stephan Wong, Koen Bertels |
Herausgeber (Verlag) | Springer-Verlag |
Seiten | 106-117 |
Seitenumfang | 12 |
ISBN (elektronisch) | 978-3-319-56258-2 |
ISBN (Print) | 978-3-319-56257-5 |
Publikationsstatus | Veröffentlicht - 2017 |
Peer-Review-Status | Ja |
Extern publiziert | Ja |
Publikationsreihe
Reihe | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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Band | 10216 LNCS |
ISSN | 0302-9743 |
Konferenz
Titel | 13th International Symposium on Applied Reconfigurable Computing, ARC 2017 |
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Dauer | 3 - 7 April 2017 |
Stadt | Delft |
Land | Niederlande |
Externe IDs
ORCID | /0000-0003-2571-8441/work/159607546 |
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Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- Cross correlation, Debugging, Device start and stop, Device under test, DSAS, DUT, FPGA, MATLAB, Rule-based inference system, Simulation