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Modeling and simulation of network-on-chip systems with DEVS and DEUS
1Centro Interdipartimentale SITEIA.PARMA, Università degli Studi di Parma, Parco Area delle Scienze 181a, 43124 Parma, Italy.
This study introduces a novel approach for designing and evaluating Networks on-Chip (NoCs) using the Discrete Event System Specification (DEVS) and DEUS simulation environment. This integration offers a standardized, modular method for complex system-on-chip communication architectures.
Area of Science:
- Computer Engineering
- Electrical Engineering
- Computer Science
Background:
- Traditional VLSI communication architectures like buses and dedicated wires face limitations in performance, scalability, and modularity.
- Networks on-Chip (NoCs) offer superior advantages for Systems on-Chip (SoCs), but their complex design space necessitates robust evaluation methodologies.
- Current NoC evaluation relies heavily on analytical modeling and simulation, lacking a standardized framework.
Purpose of the Study:
- To present an integrated approach for designing and evaluating Networks on-Chip (NoCs).
- To demonstrate the application of the Discrete Event System Specification (DEVS) modeling framework with the DEUS simulation environment for NoC design.
- To address the need for a standardized and modular methodology in NoC evaluation.
Main Methods:
- Integration of the Discrete Event System Specification (DEVS) modeling framework.
- Utilizing the DEUS simulation environment for comprehensive system analysis.
- Leveraging the inherent modularity and sound/complete nature of DEVS and the open-platform capabilities of DEUS.
Main Results:
- The proposed DEVS-DEUS integration provides a standardized and modular framework for NoC design and evaluation.
- This approach facilitates simulation of complex systems at various levels of detail.
- Demonstrates enhanced design productivity and system evaluation capabilities for VLSI SoCs.
Conclusions:
- The DEVS-DEUS integration offers a powerful, standardized solution for designing and evaluating Networks on-Chip.
- This methodology enhances modularity and simulation flexibility, crucial for complex SoC development.
- The approach supports detailed system simulation, improving the overall design and verification process for NoCs.
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