A genetic algorithm based optimization method for low vertical link density 3-dimensional Networks-on-Chip many core systems

NORCHIP 2012 ◽  
2012 ◽  
Author(s):  
Haoyuan Ying ◽  
K. Heid ◽  
T. Hollstein ◽  
K. Hofmann
Micromachines ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 183
Author(s):  
Jose Ricardo Gomez-Rodriguez ◽  
Remberto Sandoval-Arechiga ◽  
Salvador Ibarra-Delgado ◽  
Viktor Ivan Rodriguez-Abdala ◽  
Jose Luis Vazquez-Avila ◽  
...  

Current computing platforms encourage the integration of thousands of processing cores, and their interconnections, into a single chip. Mobile smartphones, IoT, embedded devices, desktops, and data centers use Many-Core Systems-on-Chip (SoCs) to exploit their compute power and parallelism to meet the dynamic workload requirements. Networks-on-Chip (NoCs) lead to scalable connectivity for diverse applications with distinct traffic patterns and data dependencies. However, when the system executes various applications in traditional NoCs—optimized and fixed at synthesis time—the interconnection nonconformity with the different applications’ requirements generates limitations in the performance. In the literature, NoC designs embraced the Software-Defined Networking (SDN) strategy to evolve into an adaptable interconnection solution for future chips. However, the works surveyed implement a partial Software-Defined Network-on-Chip (SDNoC) approach, leaving aside the SDN layered architecture that brings interoperability in conventional networking. This paper explores the SDNoC literature and classifies it regarding the desired SDN features that each work presents. Then, we described the challenges and opportunities detected from the literature survey. Moreover, we explain the motivation for an SDNoC approach, and we expose both SDN and SDNoC concepts and architectures. We observe that works in the literature employed an uncomplete layered SDNoC approach. This fact creates various fertile areas in the SDNoC architecture where researchers may contribute to Many-Core SoCs designs.


Author(s):  
Dexue Zhang ◽  
Xiaoyang Zeng ◽  
Zongyan Wang ◽  
Weike Wang ◽  
Xinhua Chen

Author(s):  
R. Sandoval-Arechiga ◽  
R. Parra-Michel ◽  
J. L. Vazquez-Avila ◽  
J. Flores-Troncoso ◽  
S. Ibarra-Delgado

2018 ◽  
Vol 68 ◽  
pp. 581-602 ◽  
Author(s):  
Md Farhadur Reza ◽  
Dan Zhao ◽  
Hongyi Wu ◽  
Magdy Bayoumi

2014 ◽  
Author(s):  
Cíntia Avelar ◽  
Pedro Penna ◽  
Henrique Freitas
Keyword(s):  
On Chip ◽  

Desempenho é um ponto crucial em arquiteturas many-core com networks-on-chip. Uma das alternativas para alcanç á-lo consiste em mapear processos nos núcleos de processamento de forma a minimizar o custo de comunicação global entre processos. Nesse contexto, esse trabalho propõe o algoritmo Kmeans como uma estratégia alternativa às heurísticas BRD e Guloso. Para determinados padrões de comunicação, os resultados de simulação apontaram que o Kmeans conduz a melhores mapeamentos que as outras estratégias, sendo portanto uma boa opção para o mapeamento de processos em arquiteturas many-core com networks-on-chip.


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