Consiglio Nazionale delle Ricerche

Tipo di prodottoArticolo in rivista
TitoloParallel computation of the correlation dimension from a time series
Anno di pubblicazione1999
Formato
  • Elettronico
  • Cartaceo
Autore/iCorana A.
Affiliazioni autoriIstituto per I Circuiti Elettronici, CNR, Genova
Autori CNR e affiliazioni
  • ANGELO CORANA
Lingua/e
  • inglese
AbstractA parallel algorithm is presented to compute the Correlation Dimension from a time series generated by a dynamical system. Three versions are described: the first computes all distances between points in the phase space, whereas the second and third compute only distances less than a threshold eps; the third version in particular is very powerful since it employs a box-assisted approach and linked lists for a fast search of neighboring points. The parallelization is designed for coarse-grained multiprocessor systems with distributed memory and is accomplished using a message passing model and partitioning points evenly among processors. Uniform implementation and computational analysis allow a clear comparison of the three versions. The algorithms, tested on the Transtech PARAstation multiprocessor, are well balanced, give a linear speed-up and show a good scalability. The third version is particularly suitable for fast processing of very long time series and allows the estimation of D_2 even for medium- and high-dimensional systems, where an extremely large number of points is needed. The algorithms can be adapted with few modifications to the computation of the generalized dimensions D_q, and they can also be useful in other applications involving the efficient computation of distances between points in a large set. More generally, the computational framework can be used in similar problems involving long-range interactions.
Lingua abstractinglese
Altro abstract-
Lingua altro abstract-
Pagine da639
Pagine a666
Pagine totali-
RivistaParallel computing
Attiva dal 1984
Editore: North-Holland : Amsterdam - [poi] Elsevier Science [S.l.]
Paese di pubblicazione: Paesi Bassi
Lingua: inglese
ISSN: 0167-8191
Titolo chiave: Parallel computing
Titolo proprio: Parallel computing.
Titolo abbreviato: Parallel comput.
Numero volume della rivista25
Fascicolo della rivista6
DOI10.1016/S0167-8191(99)00029-0
Verificato da refereeSì: Internazionale
Stato della pubblicazionePublished version
Indicizzazione (in banche dati controllate)
  • Scopus (Codice:2-s2.0-0033138317)
  • ISI Web of Science (WOS) (Codice:000081952200001)
Parole chiavenonlinear time series analysis; Correlation dimension; computation of distances; long-range interactions; box-assisted parallel algorithms; distributed memory multiprocessors; message passing
Link (URL, URI)http://www.scopus.com/inward/record.url?eid=2-s2.0-0033138317&partnerID=q2rCbXpz
Titolo parallelo-
Data di accettazione-
Note/Altre informazioni-
Strutture CNR
  • IEIIT — IEIIT - Sede secondaria di Genova
Moduli CNR-
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Allegati
  • Parallel computation of the correlation dimension from a time series