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Brewster LaMacchia

dblp:167/6669 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1986
—ORCID · none

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

Computer networks · 1 · 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
1 paper
Integrated circuit design · 100%

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

TopicWeightPapersLastEvidence papers
Integrated circuit design › digital signal processing circuits
digital filter
0.011986
RNS Digital Filtering Structures for Wafer-Scale Integration · IEEE J. Sel. Areas Commun. 1986
Integrated circuit design
digital signal processing circuits
0.011986
RNS Digital Filtering Structures for Wafer-Scale Integration · IEEE J. Sel. Areas Commun. 1986
Integrated circuit design › digital signal processing circuits
finite impulse response filter
0.011986
RNS Digital Filtering Structures for Wafer-Scale Integration · IEEE J. Sel. Areas Commun. 1986
Integrated circuit design
residue number system arithmetic
0.011986
RNS Digital Filtering Structures for Wafer-Scale Integration · IEEE J. Sel. Areas Commun. 1986
Integrated circuit design › VLSI design
wafer-scale integration
0.011986
RNS Digital Filtering Structures for Wafer-Scale Integration · IEEE J. Sel. Areas Commun. 1986

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

mixed radix conversion · 0.0index addition · 0.0
YearPublicationVenuePosition
1986 RNS Digital Filtering Structures for Wafer-Scale Integration
abstract
Wafer-scale integration (WSI) compresses a large amount of microelectronics representing a complete digital system onto a single intact wafer. This approach is desirable for applications requiring extensive computational capabilities but only limited input and output connections. Its primary advantage is an improvement in total system density. However, such designs must have built-in fault tolerance. Parallel architectures are ideal for WSI. Thus, digital filtering implemented via the residue number system (RNS) is an application that naturally fits the requirements and advantages of WSI. A finite impulse response (FIR) filter readily lends itself to RNS implementation, and a system architecture employing both RNS and WSI is proposed. Means of introducing inherent fault tolerance using the RNS are briefly covered. After a tutorial introduction to the residue number system, methods of performing addition and multiplication operations in the RNS are explored on the basis of reducing area for a custom VLSI design. Modulo addition implemented with two conventional binary adders provides a compact design that may be externally programmed for the modulus that it operates in. Realization of mod multiplication via index addition is shown to be more effective than implementing the mod multiplication truth table directly. Conversions from binary to the RNS representation and vice versa are major bottlenecks in RNS design. Techniques for conversion into the RNS and out of the RNS based on a sequential division algorithm and the mixed-radix system expansion, respectively, are presented.
Brewster LaMacchia, G. Robert Redinbo
IEEE J. Sel. Areas Commun.1