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Pregled bibliografske jedinice broj: 1269414

Efficient parallelization algorithms of the applied tasks in multiprocessor computing systems


Mamuzić, Ilija; Pobochii, I.; Zaporozhchenko, O.; Kozenkova, V.
Efficient parallelization algorithms of the applied tasks in multiprocessor computing systems // Supplement of the Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 3-4) / Mamuzić, Ilija (ur.).
Zagreb: Hrvatsko metalurško društvo, 2023. str. 491-491 (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 1269414 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Efficient parallelization algorithms of the applied tasks in multiprocessor computing systems

Autori
Mamuzić, Ilija ; Pobochii, I. ; Zaporozhchenko, O. ; Kozenkova, V.

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Supplement of the Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 3-4) / Mamuzić, Ilija - Zagreb : Hrvatsko metalurško društvo, 2023, 491-491

Skup
16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy

Mjesto i datum
Zagreb, Hrvatska, 20.04.2023. - 21.04.2023

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
multiprocessor computing systems ; numerical-analytical method ; parallelization algorithms

Sažetak
The work is dedicated to the construction of numerical-analytical method of designing efficient algorithms for solution of problems in economics and engineering. Using a priori information about the smoothness of the solution, great attention is paid to the construction of high-accuracy solutions. The proposed approach eliminates recurrent structure calculations for desired vectors’ decisions which leads to the accumulation of rounding errors. Parallel form of the algorithm is the maximum, and therefore demands the shortest possible time for implementation on parallel computing systems.

Izvorni jezik
Engleski

Znanstvena područja
Metalurgija

Napomena
The conference was canceled due the low number of presenters registered for the conference, but the Book of abstracts has been published.



POVEZANOST RADA


Profili:

Avatar Url Ilija Mamuzic (autor)


Citiraj ovu publikaciju:

Mamuzić, Ilija; Pobochii, I.; Zaporozhchenko, O.; Kozenkova, V.
Efficient parallelization algorithms of the applied tasks in multiprocessor computing systems // Supplement of the Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 3-4) / Mamuzić, Ilija (ur.).
Zagreb: Hrvatsko metalurško društvo, 2023. str. 491-491 (poster, međunarodna recenzija, sažetak, znanstveni)
Mamuzić, I., Pobochii, I., Zaporozhchenko, O. & Kozenkova, V. (2023) Efficient parallelization algorithms of the applied tasks in multiprocessor computing systems. U: Mamuzić, I. (ur.)Supplement of the Book of abstracts of the 16th International Symposium of Croatian Metallurgical Society - SHMD '2023, Materials and metallurgy (published in: Metalurgija 62 (2023) 3-4).
@article{article, author = {Mamuzi\'{c}, Ilija and Pobochii, I. and Zaporozhchenko, O. and Kozenkova, V.}, editor = {Mamuzi\'{c}, I.}, year = {2023}, pages = {491-491}, keywords = {multiprocessor computing systems, numerical-analytical method, parallelization algorithms}, title = {Efficient parallelization algorithms of the applied tasks in multiprocessor computing systems}, keyword = {multiprocessor computing systems, numerical-analytical method, parallelization algorithms}, publisher = {Hrvatsko metalur\v{s}ko dru\v{s}tvo}, publisherplace = {Zagreb, Hrvatska} }
@article{article, author = {Mamuzi\'{c}, Ilija and Pobochii, I. and Zaporozhchenko, O. and Kozenkova, V.}, editor = {Mamuzi\'{c}, I.}, year = {2023}, pages = {491-491}, keywords = {multiprocessor computing systems, numerical-analytical method, parallelization algorithms}, title = {Efficient parallelization algorithms of the applied tasks in multiprocessor computing systems}, keyword = {multiprocessor computing systems, numerical-analytical method, parallelization algorithms}, publisher = {Hrvatsko metalur\v{s}ko dru\v{s}tvo}, publisherplace = {Zagreb, Hrvatska} }




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