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arXiv.org e-Print Archive
Preprint . 1995
Data sources: arXiv.org e-Print Archive
https://dx.doi.org/10.48550/ar...
Article . 1995
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Generalized Hyper-Systolic Algorithm

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Jan 1995Embargo end date: 01 Jan 1995Publisher:arXiv
Authors: Galli, A.;

doi: 10.48550/arxiv.hep-lat/9509011

arXiv: hep-lat/9509011

Generalized Hyper-Systolic Algorithm

Abstract

We generalize the hyper-systolic algorithm proposed in [1] for abstract data structures on massive parallel computers with $n_p$ processors. For a problem of size $V$ the communication complexity of the hyper-systolic algorithm is proportional to $\sqrt{n_p}V$, to be compared with $n_pV$ for the systolic case. The implementation technique is explained in detail and the example of the parallel matrix-matrix multiplication is tested on the Cray-T3D.

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Keywords

High Energy Physics - Lattice, High Energy Physics - Lattice (hep-lat), FOS: Physical sciences

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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!
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