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Modeling and simulation of network-on-chip systems with DEVS and DEUS.

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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.

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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.