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Franco Fummi

Researcher at University of Verona

Publications -  353
Citations -  3121

Franco Fummi is an academic researcher from University of Verona. The author has contributed to research in topics: SystemC & Automatic test pattern generation. The author has an hindex of 25, co-authored 334 publications receiving 2948 citations. Previous affiliations of Franco Fummi include Telecom Italia & DST Systems.

Papers
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Journal ArticleDOI

SystemC cosimulation and emulation of multiprocessor SoC designs

TL;DR: The authors describe a simulation environment that targets heterogeneous multiprocessor systems and is currently working to extend their methodology to more complex on-chip architectures.
Proceedings ArticleDOI

Implicit test generation for behavioral VHDL models

TL;DR: The paper will experimentally show that the test patterns generated at the behavioral level provide a very high stuck-at fault coverage when applied to different gate-level implementations of the given VHDL behavioral specification.
Proceedings ArticleDOI

A SystemC-based framework for modeling and simulation of networked embedded systems

TL;DR: A modeling language traditionally used for System design -SystemC- is exploited to build a system/network simulator named SystemC Network Simulation Library (SCNSL), which allows to model network scenarios in which different kinds of nodes, or nodes described at different abstraction levels, interact together.
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HIFsuite: tools for HDL code conversion and manipulation

TL;DR: HIFSuite is a set of tools and application programming interfaces that provide support for modeling and verification of HW/SW systems and allows designers to manipulate and integrate heterogeneous components implemented by using different hardware description languages.
Proceedings ArticleDOI

Native ISS-SystemC integration for the co-simulation of multi-processor SoC

TL;DR: Two co-simulation methodologies are presented, based on SystemC as hardware modeling language and on an instruction set simulator (ISS) as a model of the processor, which improve co-Simulation performance with respect to state-of the art methods and provide different trade-offs between the simplicity of the programming model, the modeling power, and co-SIMulation performance.