Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Rami Zecharia

dblp:306/0535 · DBLP profile ↗
← Back
2ranked-venue papers
2as first author
2since 2021 · last 2025
0009-0003-1032-1430ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 first-author · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
2 papers
Interconnection networks and networks-on-chip · 100%
Computer networks
2 papers
Optical networks · 64% Routing and switching · 36%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interconnection networks and networks-on-chip › switching network
multistage interconnection network
1.622025
A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks · IEEE Trans. Netw. 2025
A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks · INFOCOM 2024
Interconnection networks and networks-on-chip › switching network › multistage interconnection network
benes network
0.912025
A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks · IEEE Trans. Netw. 2025
Interconnection networks and networks-on-chip › routing algorithms
parallel routing
0.912025
A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks · IEEE Trans. Netw. 2025
Routing and switching
routing
0.312025
A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks · IEEE Trans. Netw. 2025
Optical networks › optical switching
optical circuit switching
0.212024
A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks · INFOCOM 2024
Optical networks › optical switch
silicon photonic switch
0.212024
A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks · INFOCOM 2024

Methods — techniques the papers use, named apart from their topics

parallel algorithm design · 1.7large-scale simulation · 1.5analytical performance modeling · 1.5parallel routing algorithms · 0.8parallel routing algorithm · 0.8
YearPublicationVenuePosition
2025 A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks
Rami Zecharia, Yuval Shavitt
IEEE Trans. Netw.1
2024 A Parallel Algorithm and Scalable Architecture for Routing in Beneš Networks
abstract
Beneš/CLOS architectures are common scalable interconnection networks widely used in backbone routers, data centers, on-chip networks, multi-processor systems, and parallel computers. Recent advances in Silicon Photonic technology, especially MZI technology, have made Beneš networks a very attractive scalable architecture for optical circuit switches.Numerous routing algorithms for Beneš networks were developed starting with linear algorithms having time complexity of O(N log2N) steps. Parallel routing algorithms were developed to satisfy the stringent timing requirements of high-performance switching networks and have time complexity of O((log2N)2).However, their implementation requires O(N2log2N) wires (termed connectivity complexity), and thus are difficult to scale.We present a new routing algorithm for Beneš networks combined with a scalable hardware architecture that supports full and partial input permutations. The processing time of the algorithm is limited to O((log2N)2) steps (iterations) by potentially forfeiting routing of a few input demands; however achieves close to 100% utilization for both full and partial input permutations. The algorithm and architecture allow a reduction of the connectivity complexity to O(N2), a logN improvement over previous solutions.We prove the algorithm correctness, and analyze its performance analytically and with large scale simulations.
Rami Zecharia, Yuval Shavitt
INFOCOM1