Review, Analysis, and Implementation of Path Selection Strategies for 2D NoCs Article Swipe
Rajendra Singh
,
Manoj Kumar Bohra
,
Prashant Hemrajani
,
Anshuman Kalla
,
Devershi Pallavi Bhatt
,
Nitin Purohit
,
Masoud Daneshtalab
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3227460
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1109/access.2022.3227460
Recent advances in very-large-scale integration (VLSI) technologies have offered the capability of integrating thousands of processing elements onto a single silicon microchip. Multiprocessor systems-on-chips (MPSoCs) are the latest creation of this technology evolution. As an interconnection network, Network-on-Chip (NoC) has emerged as a scalable and promising solution for MPSoCs to achieve high performance. In NoCs, a routing algorithm is a critical part of a router and provides a path for a packet toward its destination. Every routing algorithm should exhibit two characteristics. First, the route selection function should provide enough degree of adaptiveness to avoid network congestion. Second, it should not offer stale information on network congestion status to the neighboring routers. Many researchers have investigated network congestion and proposed techniques to control/avoid congestion. Such congestion avoidance-based algorithms significantly improve NoC performance. However, they may result in hardware overhead for side network implementation to collect congestion status. This paper reviews various output selection strategies used by routing algorithms to route a packet on a less congested network region. It also classifies them based on techniques adopted to handle and propagate congestion information. Additionally, this article provides the implementation and analysis details of state-of-art selection methods.
Related Topics
Concepts
Computer science
Network congestion
Scalability
Network on a chip
Overhead (engineering)
Interconnection
Computer network
Routing (electronic design automation)
Network packet
Multiprocessing
Selection (genetic algorithm)
Distributed computing
Embedded system
Parallel computing
Operating system
Artificial intelligence
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/access.2022.3227460
- https://ieeexplore.ieee.org/ielx7/6287639/6514899/09973301.pdf
- OA Status
- gold
- Cited By
- 11
- References
- 131
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4312708492
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4312708492Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/access.2022.3227460Digital Object Identifier
- Title
-
Review, Analysis, and Implementation of Path Selection Strategies for 2D NoCsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
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2022Year of publication
- Publication date
-
2022-01-01Full publication date if available
- Authors
-
Rajendra Singh, Manoj Kumar Bohra, Prashant Hemrajani, Anshuman Kalla, Devershi Pallavi Bhatt, Nitin Purohit, Masoud DaneshtalabList of authors in order
- Landing page
-
https://doi.org/10.1109/access.2022.3227460Publisher landing page
- PDF URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/09973301.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://ieeexplore.ieee.org/ielx7/6287639/6514899/09973301.pdfDirect OA link when available
- Concepts
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Computer science, Network congestion, Scalability, Network on a chip, Overhead (engineering), Interconnection, Computer network, Routing (electronic design automation), Network packet, Multiprocessing, Selection (genetic algorithm), Distributed computing, Embedded system, Parallel computing, Operating system, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 3, 2024: 6, 2023: 2Per-year citation counts (last 5 years)
- References (count)
-
131Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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