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Bernie L. Hulme

dblp:92/2003 · 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 · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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
Electronic design automation · 100%
Theoretical computer science
1 paper
Algorithms and data structures · 50% Logic in computer science · 50%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation
logic synthesis
0.011975
Richard B. Worrell: A Prime Implicant Algorithm with Factoring · IEEE Trans. Computers 1975
Electronic design automation › logic synthesis
prime implicant generation
0.011975
Richard B. Worrell: A Prime Implicant Algorithm with Factoring · IEEE Trans. Computers 1975
Logic in computer science › propositional logic
boolean function manipulation
0.011973
Efficient Ordering of Set Expressions for Symbolic Expansion · J. ACM 1973

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

symbolic manipulation · 0.0factoring · 0.0distributive law expansion · 0.0boolean complementation · 0.0
YearPublicationVenuePosition
1975 Richard B. Worrell: A Prime Implicant Algorithm with Factoring
abstract
An algorithm for finding the prime implicants of a Boolean function is given. The algorithm is similar to Nelson's algorithm since both involve the operations of complementing, expanding, and simplifying, but the new algorithm includes the additional operation of factoring. The algorithm with factoring is proved, and it is shown that factoring accounts for a dramatic increase in efficiency over Nelson's algorithm. The increased efficiency is illustrated with timing results obtained from several examples that were implemented for both algorithms using the symbolic manipulation systems SETS.
Bernie L. Hulme
IEEE Trans. Computers1
1973 Efficient Ordering of Set Expressions for Symbolic Expansion
abstract
This paper gives an algorithm for efficiently ordering the terms and factors of a set (or Boolean) expression so that the work required for the symbolic expansion of the expression according to the distributive law is minimized. Formulas are given for computing the measure of work associated with any ordering of an expression. It is shown from these formulas that reordering the factors of the intersections can possibly reduce the cost of expansion, but this cost is invariant with respect to the ordering of the terms of the unions. A simple ordering algorithm is given for quickly determining an optimal (not necessarily unique) ordering of an intersection and a union. When this algorithm is applied to all intersections and unions in an expression, the resulting order is shown to minimize the total work over all possible orderings. Thus it is easy to establish an optimal ordering for an expression and estimate the machine time for its symbolic expansion before doing the expansion.
Richard B. Worrell, Bernie L. Hulme
J. ACM2