Result Details

Utilizing parametric systems for detection of pipeline hazards

CHARVÁT, L.; SMRČKA, A.; VOJNAR, T. Utilizing parametric systems for detection of pipeline hazards. International Journal on Software Tools for Technology Transfer, 2022, vol. 2020, no. 1, p. 1-28. ISSN: 1433-2779.
Type
journal article
Language
English
Authors
Charvát Lukáš, Ing., Ph.D.
Smrčka Aleš, Ing., Ph.D., DITS (FIT)
Vojnar Tomáš, prof. Ing., Ph.D., DITS (FIT)
Abstract

The current stress on having a rapid development cycle for microprocessors featuring pipeline-based execution leads to a high demand of automated techniques supporting the design, including a support for its verification. We present an automated approach that combines static analysis of data paths, SMT solving, and formal verification of parametric systems in order to discover flaws caused by improperly handled data and control hazards between pairs of instructions. In particular, we concentrate on synchronous, single-pipelined microprocessors with in-order execution of instructions. The paper unifies and better formalizes our previous works on read-after-write, write-after-read, and write-after-write hazards and extends them to be able to handle control hazards in microprocessors with a single pipeline too. The approach has been implemented in a tool called Hades, and we present promising experimental results obtained using the tool on multiple pipelined microprocessors.

Keywords

Microprocessor, Data hazard, Control hazard, Formal methods, Parametric systems

URL
Published
2022
Pages
1–28
Journal
International Journal on Software Tools for Technology Transfer, vol. 2020, no. 1, ISSN 1433-2779
Book
International Journal on Software Tools for Technology Transfer
DOI
UT WoS
000574070100001
EID Scopus
BibTeX
@article{BUT168177,
  author="Lukáš {Charvát} and Aleš {Smrčka} and Tomáš {Vojnar}",
  title="Utilizing parametric systems for detection of pipeline hazards",
  journal="International Journal on Software Tools for Technology Transfer",
  year="2022",
  volume="2020",
  number="1",
  pages="1--28",
  doi="10.1007/s10009-020-00591-y",
  issn="1433-2779",
  url="https://link.springer.com/content/pdf/10.1007/s10009-020-00591-y.pdf"
}
Projects
Scalable Techniques for Analysis of Complex Properties of Computer Systems, GACR, Standardní projekty, GA20-07487S, start: 2020-01-01, end: 2022-12-31, completed
Research groups
Departments
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