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Efficient Parallel k-Set Chain Range-Join in Hypercubes
Author(s) -
Hong Shen
Publication year - 1995
Publication title -
the computer journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 64
eISSN - 1460-2067
pISSN - 0010-4620
DOI - 10.1093/comjnl/38.3.217
Subject(s) - hypercube , join (topology) , tuple , computer science , set (abstract data type) , range (aeronautics) , combinatorics , element (criminal law) , parallel computing , chain (unit) , algorithm , discrete mathematics , mathematics , physics , materials science , composite material , programming language , astronomy , political science , law
The chain range-join of k sets, St,S2, ,Sk, is the set containing all tuples (st,S2, ,s*) that satisfy «,•'' ) local memory at each processor, and has a time complexity at most O(((nk/p) + nk_i)log(nk/p)) in the best case when no element in Sl+i matches any element in S, for 1 ^ t < k — 1, O(kTsort + (k 2 /p) n?=i";) m tn e worst case when all elements in Sl+i match each element in S,, where Tson = #((£//') 11?= 2 n il°gn?= 2"i) when all elements in S,+ 1 are distinct, and Tson = O((k/p) n?=2"i) when all elements in S,+i are equal. The general-case time complexity of the algorithm is also shown. The algorithm is implemented on a UNIX-based network using a simulator designed in C and its performance is fully evaluated through extensive testing.

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