Arbeitspapier

Parallel computing techniques

Parallel computing means to divide a job into several tasks and use more than one processor simultaneously to perform these tasks. Assume you have developed a new estimation method for the parameters of a complicated statistical model. After you prove the asymptotic characteristics of the method (for instance, asymptotic distribution of the estimator), you wish to perform many simulations to assure the goodness of the method for reasonable numbers of data values and for different values of parameters. You must generate simulated data, for example, 100 000 times for each length and parameter value. The total simulation work requires a huge number of random number generations and takes a long time on your PC. If you use 100 PCs in your institute to run these simulations simultaneously, you may expect that the total execution time will be 1/100. This is the simple idea of parallel computing.

Sprache
Englisch

Erschienen in
Series: Papers ; No. 2004,27

Klassifikation
Wirtschaft

Ereignis
Geistige Schöpfung
(wer)
Nakano, Junji
Ereignis
Veröffentlichung
(wer)
Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE)
(wo)
Berlin
(wann)
2004

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Nakano, Junji
  • Humboldt-Universität zu Berlin, Center for Applied Statistics and Economics (CASE)

Entstanden

  • 2004

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