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Karl-Heinz Drechsler

dblp:62/5741 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1988
—ORCID · none

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

Software engineering, systems software and programming languages · 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.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 75% Program analysis · 25%

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

TopicWeightPapersLastEvidence papers
Compilers and program optimization
code motion
0.011988
A Solution to a Problem with Morel and Renvoise's "Global Optimization by Suppression of Partial Redundancies" · ACM Trans. Program. Lang. Syst. 1988
Program analysis
data flow analysis
0.011988
A Solution to a Problem with Morel and Renvoise's "Global Optimization by Suppression of Partial Redundancies" · ACM Trans. Program. Lang. Syst. 1988
Compilers and program optimization › code motion
loop-invariant code motion
0.011988
A Solution to a Problem with Morel and Renvoise's "Global Optimization by Suppression of Partial Redundancies" · ACM Trans. Program. Lang. Syst. 1988
Compilers and program optimization › compiler optimization › redundancy elimination
partial redundancy elimination
0.011988
A Solution to a Problem with Morel and Renvoise's "Global Optimization by Suppression of Partial Redundancies" · ACM Trans. Program. Lang. Syst. 1988

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

data flow analysis · 0.0
YearPublicationVenuePosition
1988 A Solution to a Problem with Morel and Renvoise's "Global Optimization by Suppression of Partial Redundancies"
abstract
Morel and Renvoise have previously described a method for global optimization and code motion by suppression of partial redundancies [l]. Morel and Renvoise use data flow analysis to determine expression computations that should be inserted at the end of certain basic blocks and to determine redundant computations that can be eliminated. The execution of these techniques results in the movement of loop invariant expressions out of the loop. In addition to [l] Morel and Renvoise's techniques can also be applied to subexpressions of larger expressions. Then, however, in certain special cases these optimization techniques move expressions to places where some of its subexpressions are neither available nor moved together with the expression. In this paper we present a modification of Morel and Renvoise's algorithm that avoids the above described situations.
Karl-Heinz Drechsler, Manfred P. Stadel
ACM Trans. Program. Lang. Syst.1