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Luigi Gilli

dblp:98/10972 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1975
—ORCID · none

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

Systems, architecture and hardware · 2 · 1 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
2 papers
Electronic design automation · 73% Performance modeling and evaluation · 27%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation
circuit simulation
0.011975
A new algebraic procedure for the simulation of large digital networks · DAC 1975
Performance modeling and evaluation
simulation
0.011975
A new algebraic procedure for the simulation of large digital networks · DAC 1975
Electronic design automation › logic synthesis
boolean function manipulation
0.011971
TOPI - A Special-Purpose Computer for Boolean Analysis and Synthesis · IEEE Trans. Computers 1971
Electronic design automation
logic synthesis
0.011971
TOPI - A Special-Purpose Computer for Boolean Analysis and Synthesis · IEEE Trans. Computers 1971
Electronic design automation › logic synthesis
prime implicant generation
0.011971
TOPI - A Special-Purpose Computer for Boolean Analysis and Synthesis · IEEE Trans. Computers 1971

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

algebraic simulation · 0.0iterative consensus method · 0.0
YearPublicationVenuePosition
1975 A new algebraic procedure for the simulation of large digital networks
Luigi Gilli, Francesco Olla
DAC1
1971 TOPI - A Special-Purpose Computer for Boolean Analysis and Synthesis
abstract
TOPI is a special-purpose computer for the synthesis and analysis of Boolean functions. The algorithms executed by TOPI have been developed specifically for this computer and are an evolution of the iterative consensus method. They allow the determination and classification of the prime implicants of a given Boolean function, as well as the determination of a number of irredundant normal coverings. The computer capabilities are limited to single-output functions of a maximum of 15 variables, or to n-output functions of a maximum of 15-n variables.
Giovanni Battista Gerace, Luigi Gilli, Piero Maestrini, Angelo Raffaele Meo
IEEE Trans. Computers2