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Behrad Niazmand

Researcher at Tallinn University of Technology

Publications -  27
Citations -  170

Behrad Niazmand is an academic researcher from Tallinn University of Technology. The author has contributed to research in topics: Fault detection and isolation & Fault coverage. The author has an hindex of 7, co-authored 27 publications receiving 152 citations. Previous affiliations of Behrad Niazmand include Islamic Azad University.

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Proceedings ArticleDOI

From online fault detection to fault management in Network-on-Chips: A ground-up approach

TL;DR: A ground-up approach from fault detection to fault management for such a NoC-based system on chip is proposed that utilizes both local faultmanagement for fast reaction to faults and a global fault management mechanisms for triggering a large-scale reconfiguration of the NoC.
Proceedings ArticleDOI

Logic-based implementation of fault-tolerant routing in 3D network-on-chips

TL;DR: This paper proposes Logic-Based Distributed Routing for 3D NoCs (LBDR3D), a scalable, re-configurable and fault-tolerant mechanism, which utilizes only two virtual channels for implementing any deadlock-free turn model routing algorithm in partially vertically connected 3d NoCs.
Proceedings ArticleDOI

Automated minimization of concurrent online checkers for Network-on-Chips

TL;DR: Experiments on the control part (routing and arbitration) of an NoC router show that 100% fault coverage with very low overhead area will be achieved by the proposed minimization approach.
Journal ArticleDOI

A loss aware scalable topology for photonic on chip interconnection networks

TL;DR: This paper has introduced a novel topology, aiming to reduce insertion loss in photonic networks, and demonstrates that the proposed topology outperforms other considered topologies in terms of physical-layer parameters, such as insertion loss, and provides better scalability.
Proceedings ArticleDOI

Mixed-criticality NoC partitioning based on the NoCDepend dependability technique

TL;DR: It is shown, how the NoC fault-tolerance technique “NoCDepend” can be used in order to achieve partitioning of a NoC into several criticality domains without additional overhead.