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The probabilistic method yields deterministic parallel algorithms

Author: Rajeev Motwani; Joseph Naor; Moni Naor
Publisher: Yorktown Heights, N.Y. : IBM Research Division, [1989]
Series: International Business Machines Corporation.; Research Division.; Research report
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:
Abstract: "We present a technique for converting RNC algorithms into NC algorithms. Our approach is based on a parallel implementation of the method of conditional probabilities. This method was used to convert probabilistic proofs of existence of combinatorial structures into polynomial time deterministic algorithms. It has the apparent drawback of being extremely sequential in nature. We show certain general
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Document Type: Book
All Authors / Contributors: Rajeev Motwani; Joseph Naor; Moni Naor
OCLC Number: 23717964
Notes: Cover title.
"11/29/89."
Description: 38 pages ; 28 cm.
Series Title: International Business Machines Corporation.; Research Division.; Research report
Responsibility: Rajeev Motwani, Joseph Naor, and Moni Naor.

Abstract:

Abstract: "We present a technique for converting RNC algorithms into NC algorithms. Our approach is based on a parallel implementation of the method of conditional probabilities. This method was used to convert probabilistic proofs of existence of combinatorial structures into polynomial time deterministic algorithms. It has the apparent drawback of being extremely sequential in nature. We show certain general conditions under which it is possible to use this technique for devising deterministic parallel algorithms. We use our technique to devise an NC algorithm for the set balancing problem."

This problem turns out to be a useful tool for parallel algorithms. Using our de-randomization method and the set balancing algorithm, we provide an NC algorithm for the lattice approximation problem. We also use the lattice approximation problem to bootstrap the set balancing algorithm, and the result is a more processor efficient algorithm. Other applications are also discussed."

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