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fault: A Python Embedded Domain-Specific Language for Metaprogramming Portable Hardware Verification Components

descriptionPublicationkeyboard_double_arrow_right Part of book or chapter of book , Article , Other literature type , Preprint 01 Jan 2020Embargo end date: 01 Jan 2020 English Publisher:Springer International Publishing
Authors: Pat Hanrahan; Clark Barrett; Ross Daly; Daniel Stanley; Keyi Zhang; Steven Herbst; Makai Mann; +4 Authors

doi: 10.1007/978-3-030-53288-8_19 , 10.48550/arxiv.2006.11669

arXiv: http://arxiv.org/abs/2006.11669

fault: A Python Embedded Domain-Specific Language for Metaprogramming Portable Hardware Verification Components

Abstract

While hardware generators have drastically improved design productivity, they have introduced new challenges for the task of verification. To effectively cover the functionality of a sophisticated generator, verification engineers require tools that provide the flexibility of metaprogramming. However, flexibility alone is not enough; components must also be portable in order to encourage the proliferation of verification libraries as well as enable new methodologies. This paper introduces fault, a Python embedded hardware verification language that aims to empower design teams to realize the full potential of generators.

CAV 2020: 32nd International Conference on Computer-Aided Verification

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Keywords

Software Engineering (cs.SE), FOS: Computer and information sciences, Computer Science - Software Engineering, Hardware Architecture (cs.AR), Computer Science - Hardware Architecture, Article

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Top 10%
Top 10%
Top 10%
Green
hybrid