Fast and practical parallel polynomial interpolation:

Abstract: "We present fast and practical parallel algorithms for the computation and evaluation of interpolating polynomials. The algorithms make use of fast parallel prefix techniques for the calculation of divided differences in the Newton representation of the interpolating polynomial. For n...

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Bibliographische Detailangaben
Hauptverfasser: Egecioglu, Omer (VerfasserIn), Gallopoulos, Efstratios (VerfasserIn), Koç, Çetin Kaya 1957- (VerfasserIn)
Format: Buch
Sprache:English
Veröffentlicht: Urbana, Ill. 1987
Schriftenreihe:Center for Supercomputing Research and Development <Urbana, Ill.>: CSRD report 646
Schlagworte:
Zusammenfassung:Abstract: "We present fast and practical parallel algorithms for the computation and evaluation of interpolating polynomials. The algorithms make use of fast parallel prefix techniques for the calculation of divided differences in the Newton representation of the interpolating polynomial. For n+1 given input pairs the proposed interpolation algorithm requires 2[log(n+1)]+2 parallel arithmetic steps and circuit size O(n p2 s). The algorithms are numerically stable and their floating-point implementation results in error accumulation similar to that of the widely used serial algorithms. This is in contrast to other fast serial and parallel interpolation algorithms which are subject to much larger roundoff
We demonstrate that in a distributed memory environment context, a cube connected system is very suitable for the algorithms' implemetation, exhibiting very small communication cost. As further advantages we note that our techniques does not require equidistant points, preconditioning, or use of the Fast Fourier Transform.
Beschreibung:23, 7 S.

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