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Sergey Egorov

dblp:40/2612 · DBLP profile ↗
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4ranked-venue papers
3as first author
1since 2021 · last 2024
0000-0001-5859-1024ORCID · reported

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

Systems, architecture and hardware · 2 · 1 first-author · 1 since 2021Computer networks · 2 · 2 first-author

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
1 paper
Memory systems · 44% Storage systems · 44% Distributed systems · 13%
Theoretical computer science
1 paper
Coding theory · 100%

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

TopicWeightPapersLastEvidence papers
Storage systems › storage reliability
durability
0.812024
Mangosteen: Fast Transparent Durability for Linearizable Applications using NVM · USENIX ATC 2024
Memory systems
non-volatile memory
0.812024
Mangosteen: Fast Transparent Durability for Linearizable Applications using NVM · USENIX ATC 2024
Distributed systems
replication
0.212024
Mangosteen: Fast Transparent Durability for Linearizable Applications using NVM · USENIX ATC 2024
Coding theory › error-correcting codes › decoding › algebraic decoding
berlekamp-massey algorithm
0.012004
A modified Blahut algorithm for decoding Reed-Solomon codes beyond half the minimum distance · IEEE Trans. Commun. 2004
Coding theory › error-correcting codes › decoding › decoding algorithms
decoding beyond half minimum distance
0.012004
A modified Blahut algorithm for decoding Reed-Solomon codes beyond half the minimum distance · IEEE Trans. Commun. 2004
Coding theory › error-correcting codes
reed-solomon codes
0.012004
A modified Blahut algorithm for decoding Reed-Solomon codes beyond half the minimum distance · IEEE Trans. Commun. 2004

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

blahut algorithm · 0.0analytical continuation · 0.0
YearPublicationVenuePosition
2024 Mangosteen: Fast Transparent Durability for Linearizable Applications using NVM
Sergey Egorov, Gregory V. Chockler, Brijesh Dongol, Dan O'Keeffe, Sadegh Keshavarzi
USENIX ATC1
2005 Efficient LTL compilation for SAT-based model checking
abstract
This work describes an algorithm of automata construction for LTL safety properties, suitable for bounded model checking. Existing automata construction methods are tailored to BDD-based symbolic model checking. The novelty of our approach is that we construct deterministic automata, unlike the standard approach, which constructs nondeterministic automata. We show that the proposed method has significant advantages for bounded model checking over traditional methods.
Roy Armoni, Sergey Egorov, Ranan Fraer, Dmitry Korchemny, Moshe Y. Vardi
ICCAD2
2004 An algorithm for t+1 error correction in Reed-Solomon codes
abstract
A modification of Blahut algorithm is proposed for decoding of Reed-Solomon codes beyond half the minimum distance. An effective method is offered for the searching of unknown discrepancies needed for analytical continuation of the Berlekamp-Massey algorithm through two additional iterations. This reduces the search time compared to Blahut algorithm considerably. An architecture of a searcher for unknown discrepancies is given. The coding gain and implementation complexity of the proposed algorithm is shown for some practical codes.
Sergey Egorov, Garegin Markarian
ICC1
2004 A modified Blahut algorithm for decoding Reed-Solomon codes beyond half the minimum distance
abstract
A modification of the Blahut algorithm is proposed for decoding of Reed-Solomon codes beyond half the minimum distance. An effective method is offered for the searching of unknown discrepancies needed for analytical continuation of the Berlekamp-Massey algorithm through two additional iterations. This reduces the search time by 2(q-1)n/((n+t+1)(n-t)) times, compared with the Blahut algorithm. An architecture of a searcher for unknown discrepancies is given. The coding gain of the proposed algorithm is shown for some practical codes.
Sergey Egorov, Garegin Markarian, Keith Pickavance
IEEE Trans. Commun.1