Abstract
This paper analyzes how to sort n k-bit numbers in a minimum storage network. The techniques also give new AT2 lower bounds for a VLSI sorting model. The principal results in this paper are as follows. * Lower bounds are given for the minimum storage (and area) needed to sort n k-bit numbers, and accompanying upper bounds (sorting networks) are presented, which match the lower bounds, up to a constant factor. * Sharp bounds are derived, which demonstrate that theminimum storage requirements depend quite strongly on the I/O schedule, and on the sorting model. * AT2 lower bounds are established for a VLSI device that sorts n k-bit numbers where k ≫ log n.
Original language | English (US) |
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Pages (from-to) | 355-361 |
Number of pages | 7 |
Journal | IEEE Transactions on Computers |
Volume | C-34 |
Issue number | 4 |
DOIs | |
State | Published - Apr 1985 |
Keywords
- Index Terms -Data compression
- VLSI
- VLSI complexity
- lower bounds
- minimum storage digital sorters
- noncompressing sorting network
- sorting network
ASJC Scopus subject areas
- Software
- Theoretical Computer Science
- Hardware and Architecture
- Computational Theory and Mathematics