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Detail publikačního výsledku
CHARVÁT, L.; SMRČKA, A.; VOJNAR, T.
Originální název
Hades: Microprocessor Hazard Analysis via Formal Verification of Parameterized Systems
Anglický název
Druh
Stať ve sborníku v databázi WoS či Scopus
Originální abstrakt
Hades is a fully automated verification tool for pipeline-based microprocessors that aims at flaws caused by improperly handled data hazards. It focuses onsingle-pipeline microprocessors designed at the register transfer level (RTL)and deals with read-after-write, write-after-write, and write-after-read hazards. Hades combines several techniques, including data-flow analysis, error pattern matching, SMT solving, and abstract regular model checking. It has been successfully tested on several microprocessors for embedded applications.
Anglický abstrakt
Klíčová slova
automated tool, formal verification, pipeline-based microprocessors, data hazards
Klíčová slova v angličtině
Autoři
Rok RIV
2017
Vydáno
13.12.2016
Nakladatel
Faculty of Informatics MU
Místo
Brno
ISBN
978-80-210-8362-2
Kniha
Proceedings 11th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS 2016)
Edice
Electronic Proceedings in Theoretical Computer Science
ISSN
2075-2180
Periodikum
Electronic Proceedings in Theoretical Computer Science, EPTCS
Svazek
2016
Číslo
233
Stát
Australské společenství
Strany od
87
Strany do
93
Strany počet
7
URL
http://eptcs.web.cse.unsw.edu.au/paper.cgi?MEMICS2016.9
BibTex
@inproceedings{BUT132606, author="Lukáš {Charvát} and Aleš {Smrčka} and Tomáš {Vojnar}", title="Hades: Microprocessor Hazard Analysis via Formal Verification of Parameterized Systems", booktitle="Proceedings 11th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science (MEMICS 2016)", year="2016", series="Electronic Proceedings in Theoretical Computer Science", journal="Electronic Proceedings in Theoretical Computer Science, EPTCS", volume="2016", number="233", pages="87--93", publisher="Faculty of Informatics MU", address="Brno", doi="10.4204/EPTCS.233.9", isbn="978-80-210-8362-2", url="http://eptcs.web.cse.unsw.edu.au/paper.cgi?MEMICS2016.9" }
Dokumenty
1612.04986