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- Hans Stadtherr.
Work Efficient Parallel Scheduling Algorithms
PhD-Thesis, Technische Universität München, 1998
- Thomas Erlebach, Peter Rossmanith, Hans Stadtherr, Angelika Steger,
and Thomas Zeugmann.
Learning One-Variable Pattern Languages Very Efficiently on Average,
in Parallel, and by Asking Queries
Proceedings of the 8th
International Workshop on Algorithmic Learning Theory
(ALT'97), LNCS 1316, Springer, 1997, pp. 260-276.
- Thomas Erlebach, Peter Rossmanith, Hans Stadtherr, Angelika Steger,
and Thomas Zeugmann.
Efficient Learning of
One-Variable Pattern Languages from Positive Data
DOI Technical Report DOI-TR-128,
Department of Informatics, Kyushu University, December 1996.
PS-File (1033kB),
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- Ernst W. Mayr and Hans Stadtherr.
Efficient Parallel Algorithms for Scheduling with Tree
Precedence Constraints
Proceedings of the 2nd International Euro-Par Conference on Parallel
Processing (Euro-Par'96), Vol. II,
LNCS 1124, Springer, 1996, pp. 543-554.
- Ernst W. Mayr and Hans Stadtherr.
Optimal Parallel Algorithms
for Two Processor Scheduling with Tree Precedence Constraints
Technical Report TUM-I9531,
Institut für Informatik, Technische Universität München,
November 1995.
PS-File (931kB),
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- Hans Stadtherr.
Hierarchische Spezifikation und
Korrektheitsbeweis eines parallelen Garbage Collectors
Diplomarbeit, Institut für Informatik,
Technische Universität München, 1991.
PS-File (2768kB),
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gzipped PS-File (528kB)
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Hans Stadtherr, 1998/09/23