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Analysis of institutional authors

Tuzov, ICorresponding AuthorRuiz, JcAuthorDe Andrés, DAuthorGil, PAuthor

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Proceedings Paper

Speeding-up simulation-based fault injection of complex HDL models

Publicated to:2013 Sixth Latin-American Symposium On Dependable Computing (Ladc). 51-60 - 2016-01-01 (), DOI: 10.1109/LADC.2016.18

Authors: Tuzov, Ilya; Ruiz, Juan-Carlos; de Andres, David; Gil, Pedro

Affiliations

Univ Politecn Valencia, ITACA, Campus Vera S-N - Author

Abstract

Simulation-based fault injection is a well-known technique to assess the dependability of hardware models defined using Hardware Description Languages (HDL). The closer to implementation models are, the more accurate are simulation results. However, injecting faults in highly complex and detailed models is a very time-and resource-intensive process that requires prohibitive simulation times. The approach proposed in this paper speeds up that process and makes feasible the dependability assessment of very detailed (implementation-level) HDL models. It relies on the use of mixed-level HDL-assemblies, where the implementation-level model of the fault injection target coexists with the rest of system structures, that are modeled at higher levels of abstraction. The experimental procedure is accelerated by using checkpoints to reduce system warm-up times and by tuning traces to minimize storage and reduce simulation/analysis times. Grid-based and multicore-based parallel processing are exploited to reduce the execution time of fault injection campaigns. The complete model of the LEON3 processor is used to exemplify the proposal and show its feasibility and usefulness.

Keywords

Computer hardware description languagesComputer simulation languagesDependability assessmentsDetailed modelsExperimental procedureHardwareHardware modelsImplementation modelsLevels of abstractionParallel processingSoftware testingSystem structures

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

From a relative perspective, and based on the normalized impact indicator calculated from the Field Citation Ratio (FCR) of the Dimensions source, it yields a value of: 1.5, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: Dimensions Jun 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2025-06-29, the following number of citations:

  • WoS: 7
  • Scopus: 6

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-06-29:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 8.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 8 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 3.

Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Tuzov, Ilya) and Last Author (Gil Vicente, Pedro Joaquín).

the author responsible for correspondence tasks has been Tuzov, Ilya.