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Ronak Salamat

Researcher at University of California, Irvine

Publications -  8
Citations -  98

Ronak Salamat is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Fault tolerance & Algorithm design. The author has an hindex of 5, co-authored 8 publications receiving 83 citations. Previous affiliations of Ronak Salamat include Amirkabir University of Technology.

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A Resilient Routing Algorithm with Formal Reliability Analysis for Partially Connected 3D-NoCs

TL;DR: This paper introduces a new routing algorithm for partially connected 3D-NoCs that is adaptive and tolerates the faults on vertical links as compared to the predesigned routing algorithms.
Journal ArticleDOI

LEAD: An Adaptive 3D-NoC Routing Algorithm with Queuing-Theory Based Analytical Verification

TL;DR: An analytical model, tailored to the adaptivity of the algorithm and under low traffic scenarios, has been developed and the results have been verified by simulation and analytical results are consistent within a 10 percent margin.
Proceedings ArticleDOI

Susceptibility Analysis of LEON3 Embedded Processor against Multiple Event Transients and Upsets

TL;DR: Analysis of the effects and propagations of different faults by simulation-based fault injection into Areoflex Gaisler LEON3 processor shows integer unit and multiplier unit are the most susceptible components against single and multiple faults respectively.
Proceedings ArticleDOI

CoBRA: Low cost compensation of TSV failures in 3D-NoC

TL;DR: The proposed fault-tolerant routing algorithm ensures a fault-free communication between any two nodes in the presence of TSV failures, and provides 100% reliability as long as there is one healthy TSV in the eastmost or westmost column.
Proceedings ArticleDOI

An Adaptive, Low Restrictive and Fault Resilient Routing Algorithm for 3D Network-on-Chip

TL;DR: This paper targets designing a routing algorithm for heterogeneous 3D-NoCs with the capability of working under the technical limit in which there is just one TSV in the network.