Layouts for improved hierarchical parallel computations

Michael Hirsch, Shmuel T. Klein, Yair Toaff

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

New layouts for the assignment of a set of n parallel processors to perform certain tasks in several hierarchically connected layers are suggested, leading, after some initialization phase, to the full exploitation of all of the processing power all of the time. This framework is useful for a variety of string theoretic problems, ranging from modular arithmetic used, among others, in Karp-Rabin type rolling hashes, as well as in cryptographic applications, and up to data compression and error-correcting codes.

Original languageEnglish
Pages (from-to)23-30
Number of pages8
JournalJournal of Discrete Algorithms
Volume28
DOIs
StatePublished - Sep 2014

Keywords

  • Data compression
  • Modular arithmetic
  • Parallel processors

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