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https://doi.org/10.1007/bfb005...
Part of book or chapter of book . 1998 . Peer-reviewed
License: Springer Nature TDM
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Article . 2000
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SIAM Journal on Computing
Article . 2000 . Peer-reviewed
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Article . 2000
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The CREW PRAM complexity of modular inversion

Authors: Joachim von zur Gathen; Igor E. Shparlinski;

The CREW PRAM complexity of modular inversion

Abstract

Summary: One of the long-standing open questions in the theory of parallel computation is the parallel complexity of the integer \(gcd\) and related problems, such as modular inversion. We present a lower bound \(\Omega(\log n)\) for the parallel time on a concurrent-read exclusive-write parallel random access machine (CREW PRAM) computing the inverse modulo certain n-bit integers, including all such primes. For infinitely many moduli, our lower bound matches asymptotically the known upper bound. We obtain a similar lower bound for computing a specified bit in a large power of an integer. Our main tools are certain estimates for exponential sums in finite fields.

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Keywords

Analysis of algorithms and problem complexity, Exponential sums, Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.), modular inversion, parallel computation, CREW PRAM complexity, exponential sums, Number-theoretic algorithms; complexity

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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