Segment LLL-Reduction with Floating Point Orthogonalization

  • Authors:
  • Henrik Koy;Claus-Peter Schnorr

  • Affiliations:
  • -;-

  • Venue:
  • CaLC '01 Revised Papers from the International Conference on Cryptography and Lattices
  • Year:
  • 2001

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Abstract

We associate with an integer lattice basis a scaled basis that has orthogonal vectors of nearly equal length. The orthogonal vectors or the QR-factorization of a scaled basis can be accurately computed up to dimension 216 by Householder reflexions in floating point arithmetic (fpa) with 53 precision bits. We develop a highly practical fpa-variant of the new segment LLL-reduction of KOY AND SCHNORR [KS01]. The LLL-steps are guided in this algorithm by the Gram-Schmidt coefficients of an associated scaled basis. The new reduction algorithm is much faster than previous codes for LLL-reduction and performs well beyond dimension 1000.