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Adaptive distribution of control messages for improving bandwidth utilization in multiple NoC.
- Source :
- Journal of Supercomputing; Oct2023, Vol. 79 Issue 15, p17208-17246, 39p
- Publication Year :
- 2023
-
Abstract
- The advancement of networks-on-chip (NoCs) is noteworthy as the number of cores increases. The bandwidth demand has grown steadily as network traffic has increased owing to high-workload applications. The NoC traffic broadly divided into control messages and data messages in which data messages are bigger in size. As NoC channel bandwidth sets in proportion to the size of the data messages, the NoC bandwidth remains underutilized during control messages transmission. This adversely affects NoC power and performance efficiency. In modern NoC architectures, multiple NoC is popular to efficiently utilize NoC bandwidth because it offers more than one physical channel for traffic communication. The conventional multiple-NoC architectures statically distribute traffic between the NoCs. This significantly affects the power-performance metrics. We have observed up to fivefold variation in energy efficiency during the analysis of static traffic distribution for multiple NoC. In this paper, we propose an adaptive distribution of control messages for multiple NoC to improve bandwidth utilization. The traversal of control messages switch between the NoC networks according to the runtime utilization of networks. The proposed adaptive distribution of control messages improves energy efficiency up to 72.7 % and 66.9 % on average over single-NoC and static traffic distribution in multiple NoC, respectively. The link utilization also improves by 1.37 × and 40 % on average over single-NoC and conventional static traffic distribution, respectively. Thus, the proposed adaptive distribution overcomes the implications of static traffic distribution. [ABSTRACT FROM AUTHOR]
- Subjects :
- ADAPTIVE control systems
BANDWIDTHS
ENERGY consumption
Subjects
Details
- Language :
- English
- ISSN :
- 09208542
- Volume :
- 79
- Issue :
- 15
- Database :
- Complementary Index
- Journal :
- Journal of Supercomputing
- Publication Type :
- Academic Journal
- Accession number :
- 171101281
- Full Text :
- https://doi.org/10.1007/s11227-023-05208-0