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Research Artifact for ICCAD'23: Automatic Inductive Invariant Generation for Scalable Dataflow Circuit Verification

Authors: Xu, Jiahui;

Research Artifact for ICCAD'23: Automatic Inductive Invariant Generation for Scalable Dataflow Circuit Verification

Abstract

This upload is the research artifact used in the submission of ICCAD'23: Automatic Inductive Invariant Generation for Scalable Dataflow Circuit Verification. In particular: dhls-iccad23.zip is a complete workflow used in the submission (in particular it contains, Dynamatic, verification model generator, inductive invariant generator, and utility scripts for setting up the entire environment). iccad23_experiments_zenodo.zip contains the performed experiments. It includes the complete workflow in dhls-iccad23.zip, and it has detailed instructions for setting up the environments, running the experiments, and extracting the results. It is recommended to use Dynamatic VM -- a pre-installed virtual machine to evaluate the experiments (accessible through https://dynamatic.epfl.ch/, which notably has pre-installed llvm-6.0 and ModelSim). Each zip file has detailed instructions.

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Keywords

High-Level Synthesis, Model Checking

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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).
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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).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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