Pregled bibliografske jedinice broj: 1164312
Solution of applied statistical problems based on multiprocessor systems
Solution of applied statistical problems based on multiprocessor systems // Book of abstracts of the 15th International Symposium of Croatian Metallurgical Society - SHMD '2022, Materials and metallurgy (published in: Metalurgija 61 (2022) 2) / Mamuzić, Ilija (ur.).
Zagreb: Hrvatsko metalurško društvo, 2022. str. 576-576 (poster, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 1164312 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Solution of applied statistical problems based on multiprocessor systems
Autori
Shvachych, G. ; Ivashchenko, O. ; Busygin, V. ; Mamuzić, Ilija
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Book of abstracts of the 15th International Symposium of Croatian Metallurgical Society - SHMD '2022, Materials and metallurgy (published in: Metalurgija 61 (2022) 2)
/ Mamuzić, Ilija - Zagreb : Hrvatsko metalurško društvo, 2022, 576-576
Skup
15th International Symposium of Croatian Metallurgical Society (SHMD '22)
Mjesto i datum
Zagreb, Hrvatska, 22.03.2022. - 23.03.2022
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
multiprocessor modeling technologies ; Monte Carlo problems ; applied statistical problems
Sažetak
The paper deals with multiprocessor modeling technologies for Monte Carlo problems. Calculation schemes are presented that provide an increase in the productivity and speed of calculations. The paper proposes a modified parallel computing algorithm based on the Monte Carlo method. Here, each calculator has its own random number generator. In this case, intermediate calculations are performed independently on different, separately taken blades of the cluster, “calculators”. Obviously, such a solution allows you to speed up the computation process. It is shown that parallel algorithms of the Monte Carlo method are stable to any input data and have the maximum parallel form and, therefore, the minimum possible implementation time on parallel computin.
Izvorni jezik
Engleski
Znanstvena područja
Metalurgija
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus