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The increasing complexity of modern System-on-Chip (SoC) devices are efficient interconnect to handle high data throughput, low latency, and scalability demands. Traditional bus-based architectures often face limitations in bandwidth, latency, and power efficiency as the number of cores and peripherals increases. This paper introduces a novel AXI Interconnect-based Network-on-Chip (NoC) architecture tailored for advanced SoC design. The proposed architecture integrates the widely adopted AMBA AXI protocol with a scalable NoC topology, enabling efficient communication among heterogeneous processing units, memory subsystems, and specialized accelerators. By leveraging dynamic routing algorithms, parallelism in data transfers, and optimized burst handling, the design achieves significant improvements in throughput and latency. The reduction in communication latency by up to 25% and throughput increase of 30% compared to traditional AXI-based bus architecture. The NoC’s module design enhances scalability, supporting up to 128 cores with minimal performance degradation.
Energy efficiency is another critical advantage, achieved through reduced and optimized packet routing. The proposed architecture is evaluated under diverse workloads, including AI/ML, multimedia processing, and real-time automotive applications, proving its versatility and robustness. This work highlights the potential of AXI Interconnect-based NoC architecture in shaping the future of SoC design.
Keywords:
Network on chip, System on chip, AXI, UART, Throughput and Latency.
Cite Article:
"Novel AXI Interconnect-based Network on Chip in SoC Devices for High Throughput ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 3, page no.a445-a451, March-2025, Available :http://www.ijrti.org/papers/IJRTI2503058.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator