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Hierarchical Fat-tree Topology for an Optical Network-on-Chip

Hoseini, Fateme Sadat | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 42276 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Hessabi, Shahin
  7. Abstract:
  8. With increasing number of processors on a chip, the role of interconnections becomes more important in both power consumption and bandwidth. As a result, in MultiProcessor System-on-Chip architectures, the design constraints will shift from "Computational Constraints" to "Communicational Constraints". Nowadays, optical information transfer is introduced as a suitable substitution for electrical interconnections in chips, which can eliminate their problems. Many different optical networks have been presented so far. These networks can be divided into two subcategories. Networks of the first category use an electrical infrastructure as well as optical one. Hence, the scalability of scheme is preserved but their power consumption and packet delay increases. The second approache focuses on decreasing network’s delay and power. In these networks, which only use an optical infrastructure, scalability degree decreases. Due to good topological properties and challenges in electrical implementation, Fat tree can be considered as one of the favorite topologies for optical networks on chips. But all of presented fat-tree-based optical networks are designed using the first approach. So, they could not eliminate the need for electrical infrastructure and therefore, suffer from its consequent problems. In this thesis, by some modifications we make fat tree topology appropriate for optical networks. This scheme minimizes electrical transactions for data transfer. As a result this network decrease 91 percent of power consumption and 95 percent of packet delay compared to a similar electrical network. Then, we design a hierarchical scheme to address the scalability problem of our all-optical network. This hierarchical network is based on our optical network and utilizes a small electrical local network. The scalability of this scheme is 4 times greater than the optical one and it can reduce 83 percent of power consumption and 93 percent of packet delay compared to a similar electrical network
  9. Keywords:
  10. Optical Transfer ; Network-on-Chip (NOC) ; Scalability ; Power Consumption ; Wavelength Routing ; Fat Tree

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