INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
On-chip routers typically have buffers dedicated to their input or output ports for temporarily storing packets in case contention occurs on output physical channels. Buffers, unfortunately, consume significant portions of router area and power budgets. While running a traffic trace, however, not all input ports of routers have incoming packets needed to be transferred simultaneously. Therefore, many buffer queues in the network are empty and other queues are mostly busy. This observation motivates us to design router architecture with shared queues (RoShaQ), router architecture that maximizes buffer utilization by allowing the sharing multiple buffer queues among input ports. A parallel cross bar architecture is proposed in this project to reduce power consumption. Also, a new adaptive WXY routing algorithm for 8-port router Architecture is proposed to increase throughput of the network on chip router. The proposed system is simulated using Modelsim and synthesized using Xilinx Project Navigator.
Keywords:
FPGA, RoShaQ
Cite Article:
"FPGA Implementation of High-Performance Network on Chip Router Design Using Shared Buffer Architecture", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.e93-e97, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307412.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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