Blueprints for SoC Integration: Reusable IP, Packetized Fabrics, and Test-Ready Platforms
- Authors
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Shlok Shah
Author
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- Keywords:
- System-on-Chip, Intellectual Property, Network-on-Chip, Platform-Based Design, SoC Verification, Analog IP, Programmable IP
- Abstract
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System-on-Chip (SOC) designs have become increasingly integrated in recent years. This has resulted in huge gaps between advances in semiconductor manufacturing and the productivity of design. Consequently, the efficient integration of systems together is the major engineering challenge of today. The paper presents a comprehensive review of state-of-the-art System on Chip (SoC) integration methodologies with emphasis on reusable IP, platform-based design, scalable on-chip communication, testing and verification methods and their latest trends. It explores features and trade-offs of soft, firm, and hard IP alongside the integration of analog/mixed-signal and programmable components facilitating reusable and adaptable system architectures. The paper also discusses platform-based development approaches that not only lessen the design effort but also speed up the development of derivative products, making use of common hardware and software infrastructures. This paper presents an analysis of the GALS architectures and the packet-switched NOC fabrics, mechanisms which emphasize the routing mechanism and the communication complexity of the heterogeneous systems. The methodologies of standardized testing include IEEE 1500 wrappers, test access mechanisms, and built-in self-test, which are being reviewed along with modern verification techniques based on assertion-driven and compositional formal verification. Together, these strategies offer a structured framework that improves design reuse, reduces verification complexity, accelerates time-to-market and enhances the reliability and scalability of next-generation SoC platforms used in complex semiconductor systems.
- References
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- Published
- 2026-06-29
- Issue
- Vol. 1 No. 3 (2026)
- Section
- Articles
- License
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Copyright (c) 2026 International Journal of Intelligent Systems and Data Science

This work is licensed under a Creative Commons Attribution 4.0 International License.
