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Maryam Bahmani

Researcher at Islamic Azad University

Publications -  8
Citations -  170

Maryam Bahmani is an academic researcher from Islamic Azad University. The author has contributed to research in topics: Network on a chip & Metro Ethernet. The author has an hindex of 3, co-authored 8 publications receiving 158 citations.

Papers
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Journal ArticleDOI

Elevator-First: A Deadlock-Free Distributed Routing Algorithm for Vertically Partially Connected 3D-NoCs

TL;DR: It is formally proved that independently of the shape and dimensions of the planar topologies and of the number and placement of the TSVs, the proposed routing algorithm using two virtual channels in the plane is deadlock and livelock free.
Proceedings ArticleDOI

A 3D-NoC Router Implementation Exploiting Vertically-Partially-Connected Topologies

TL;DR: The design and implementation of a router for vertically-partially-connected 3D-NoCs based on stacked 2D-meshes based on Elevator-First routing algorithm, which targets topologies with irregularly placed vertical connections in a deadlock free manner, is detailed.
Proceedings ArticleDOI

Corona: Ring-based interconnected topology for on-chip network

TL;DR: The basic ideas behind the development of the novel ring based network-on-chip (NoC) architecture, called ldquoCoronardquo, are presented, and shortest path routing has been applied to achieve minimum hop count.
Proceedings ArticleDOI

Norma: A hierarchical interconnection architecture for Network on Chip

TL;DR: The basic ideas behind the development of the new hierarchical network-on-chip (NoC) architecture, called ldquoNormardquo, are presented, that its most distinguished characteristic is its hierarchical nature.
Proceedings ArticleDOI

Improvement of VoIP QoS parameters in comparison to IPTV requirements in Next Generation Broadband Ethernet network

TL;DR: Results show that QoS and service differentiation configuration in such a network are necessary topics, and although, QoS mechanism can improve the quality of VoIP, the IPTV flows quality is significantly decreased by the adding more than 300 IPTV users to the network.