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What and Who

I/O-efficient Computation of Trapezoidal Decompositions

Mark Ziegelmann
Max-Planck-Institut für Informatik, Saarbrücken
Seminar des Graduiertenkollegs
AG 1, AG 2  
AG Audience
-- Not specified --

Date, Time and Location

Monday, 6 July 98
16:00
60 Minutes
45
016
Saarbrücken

Abstract

Data sets in large-scale applications (such as Geographical Information

Systems) are often too massive to fit inside the computer's internal memory.
The resulting input/output (I/O) communication between fast internal memory
and slower external memory (such as disks) can be a major performance
bottleneck.
As the trapezoidal decomposition of a set of possibly intersecting line
segments is one of the fundamental geometric problems, we would like
to be able to solve it I/O-efficiently.
In my talk, I will present an algorithm of Crauser et al. that is the
first to solve this problem using an expected optimal number of I/Os.
I will also briefly describe an ongoing implementation of this algorithm.

Contact

lkData sets in large-scale applications (such as Geographical Information Systems) are often too massive to fit inside the computer's internal memory. The resulting input/output (I/O) communication between fast internal memory and slower external memory (such as disks) can be a major performance bottleneck. As the trapezoidal decomposition of a set of possibly intersecting line segments is one of the fundamental geometric problems, we would like to be able to solve it I/O-efficiently. In my talk, I will present an algorithm of Crauser et al. that is the first to solve this problem using an expected optimal number of I/Os. I will also brieflyÜlkü Coruh
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