Traffic-Based Virtual Channel Activation for Low-Power NoC

Muhammad, Sayed T.; Ezz-Eldin, Rabab; El-Moursy, Magdy A.; El-Moursy, Ali A.; Refaat, Amr M.

doi:10.1109/tvlsi.2014.2387797

Cited by 9 publications

(3 citation statements)

References 15 publications

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“…It is known that ring(M) = My, so the path length along the vertical direction of the path is the same as in (1). And the value of each step of the (n − b) step along the horizontal direction is less than n, because it is below y = n. We can get that the path of (i) is less than the path value of (1).…”

Section: F I G U R E A1mentioning

confidence: 95%

“…In order to address the scalability issues of on-chip buses, Network-on-Chip (NoC) is introduced as the communication infrastructure for modern multi-core system-on-chip (SoC), serving as a scalable alternative. 1 Compared to the traditional bus structure, NoCs offer better scalability, higher throughput, lower latency, and lower power consumption. 2,3 It is considered a solution to overcome the shortcomings of communication shared bus and will become the mainstream of next-generation IC design.…”

Section: Introductionmentioning

confidence: 99%

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PKCA: A priori‐knowledge and congestion‐awareness method for adaptive routing algorithms in mesh architectures

Wang,

Zhao,

Wang

et al. 2024

Trans Emerging Tel Tech

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Adaptive routing algorithms have been widely utilized in Network‐on‐Chip (NoC) architectures and have shown to enhance overall throughput in numerous studies. The adaptive routing algorithms can effectively detect network congestion. On the one hand, one‐hop awareness or local awareness can easily detect network congestion but may also result in local greed. On the other hand, global awareness is better for load balancing, but it is difficult to be aware of the network congestion status. This article proposes a lightweight adaptive on‐chip routing algorithm based on the concentric circles theory and prior knowledge derived from real‐life observations. The algorithm, named the Priori‐Knowledge and Congestion‐Awareness method (PKCA), aims to optimize the routing efficiency within the chip. PKCA is designed to be not only simple but also to have low time complexity, allowing it to calculate paths to destinations without local greed. We performed evaluations, and the results demonstrated that our design surpasses one‐hop awareness, two‐hop awareness, and global awareness by 31%, 25%, and 20%, respectively, in terms of latency, and by 22%, 14%, and 22%, respectively, in terms of throughput. Furthermore, the time complexity is only in an 2D mesh.

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Section: F I G U R E A1mentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

PKCA: A priori‐knowledge and congestion‐awareness method for adaptive routing algorithms in mesh architectures

Wang,

Zhao,

Wang

et al. 2024

Trans Emerging Tel Tech

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“…The challenge is to adaptively control the PG unit according to the traffic variation. TVA is designed to efficiently achieve this goal [36]. PG block controls the delegation of power signal from the supply to each and every VC via PG controller.…”

Section: Traffic-based Virtual Channel Activation Algorithmmentioning

confidence: 99%

Low-Power NoC Using Optimum Adaptation

Muhammad

Ezz-Eldin

El-Moursy

et al. 2015

Computational Intelligence in Digital and Network Designs and Applications

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Two power-reduction techniques are exploited to design a low leakage power NoC switch. First, the adaptive virtual channel (AVC) technique is presented as an efficient way to reduce the active area using a hierarchical multiplexing tree of VC groups. Second, power gating reduces the average leakage power consumption of the switch by controlling the supply power of the VC groups. The traffic-based virtual channel activation (TVA) algorithm is presented to determine traffic load status at the NoC switch ports. The TVA algorithm optimally utilizes virtual channels by deactivating idle VC groups to guarantee high leakage power saving without affecting the NoC throughput.

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