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Stephen E. Eldridge

dblp:71/6391 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2002
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1

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
Integrated circuit design · 100%
Network and information security
1 paper
Cryptographic primitives and cryptanalysis · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Integrated circuit design
digital circuit design
0.011993
Hardware Implementation of Montgomery's Modular Multiplication Algorithm · IEEE Trans. Computers 1993
Cryptographic primitives and cryptanalysis › number theory
modular arithmetic
0.011993
Hardware Implementation of Montgomery's Modular Multiplication Algorithm · IEEE Trans. Computers 1993

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

montgomery modular multiplication · 0.0
YearPublicationVenuePosition
2002 Transformations of sigma-pi nets: obtaining reflected functions by reflecting weight matrices
Richard Stuart Neville, Stephen E. Eldridge
Neural Networks2
1999 Efficient Automata-Driven Pattern-Matching for Equational Programs
abstract
We propose a practical technique to compile left-to-right pattern-matching of prioritised overlapping function definitions in equational languages to a matching automaton from which efficient code can be derived. First, a matching table is constructed using a compilation method similar to the technique that YACC employs to generate parsing tables. The matching table obtained allows for the pattern-matching process to be performed without any backtracking. Then, the known information about right sides of the equations is inserted in the matching table in order to speed-up the pattern-matching process. Most of the discussion assumes that the processed pattern set is left-linear, the non-linear case being handled by an additional pass following the matching stage. Copyright © 1999 John Wiley & Sons, Ltd.
Nadia Nedjah, Colin D. Walter, Stephen E. Eldridge
Softw. Pract. Exp.3
1993 Hardware Implementation of Montgomery's Modular Multiplication Algorithm
abstract
Hardware is described for implementing the fast modular multiplication algorithm developed by P.L. Montgomery (1985). Comparison with previous techniques shows that this algorithm is up to twice as fast as the best currently available and is more suitable for alternative architectures. The gain in speed arises from the faster clock that results from simpler combinational logic.>
Stephen E. Eldridge, Colin D. Walter
IEEE Trans. Computers1