DocumentCode :
962525
Title :
Minimum Storage Sorting Networks
Author :
Siegel, Alan R.
Author_Institution :
Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY 11790.; Department of Computer Science, New York University, New York, NY 10003.
Issue :
4
fYear :
1985
fDate :
4/1/1985 12:00:00 AM
Firstpage :
355
Lastpage :
361
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 the minimum 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.
Keywords :
Area measurement; Circuits; Data compression; Decoding; Encoding; Processor scheduling; Sorting; Upper bound; Very large scale integration; Wires; Data compression; VLSI; VLSI complexity; lower bounds; minimum storage digital sorters; noncompressing sorting network; sorting network;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/TC.1985.5009386
Filename :
5009386
Link To Document :
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