Zobrazeno 1 - 10
of 27
pro vyhledávání: '"high-performance computing cluster."'
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-36 (2019)
Abstract In this paper, we comprehensively explain how we built a novel implementation of the Random Forest algorithm on the High Performance Computing Cluster (HPCC) Systems Platform from LexisNexis. The algorithm was previously unavailable on that
Externí odkaz:
https://doaj.org/article/e88a877a34b74f8281416ae97365a085
Publikováno v:
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, Iss 8, Pp 76-85 (2017)
A stochastic model of a multiserver queueing system with simultaneous service of a customer by a random number of servers and threshold-based (hysteretic) control of the service rate is presented. The performance and quality-of-service measures of th
Externí odkaz:
https://doaj.org/article/c98cf6d5e43640498caf4cece36910fc
Autor:
Alexander Rumyantsev, Irina Peshkova
Publikováno v:
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, Iss 7 (2018)
We present regeneration techniques for perfomance estimation of multiserver system characteristics. Providing a necessary background of classical and weak regeneration notions, we focus on less well-known and mainly new construction of artificial cla
Externí odkaz:
https://doaj.org/article/62d10b77f270442cb890b8a99f1d5b9b
Akademický článek
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Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-36 (2019)
In this paper, we comprehensively explain how we built a novel implementation of the Random Forest algorithm on the High Performance Computing Cluster (HPCC) Systems Platform from LexisNexis. The algorithm was previously unavailable on that platform.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0a101c9514bc7decd26376c6e86522e
https://doi.org/10.1186/s40537-019-0232-1
https://doi.org/10.1186/s40537-019-0232-1
Akademický článek
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Autor:
Gusso, Michele
Il volume contiene una raccolta di 45 articoli in inglese che illustrano i principali risultati ottenuti nel 2016 utilizzando le infrastrutture di calcolo scientifico CRESCO in campi come la scienza dei materiali, la combustione efficiente, la ricerc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2640::b2fa04c80b6bc0c9653de4a198dcae81
http://hdl.handle.net/20.500.12079/5082
http://hdl.handle.net/20.500.12079/5082
Publikováno v:
COMPUTING AND INFORMATICS; Vol 35, No 6 (2016): Computing and Informatics; 1416-1437
Scopus-Elsevier
Scopus-Elsevier
In this paper the use of Fire Dynamics Simulator (FDS) for parallel computer simulation of the smoke movement during a fire of two passenger cars in an underground car park is investigated. The simulations were executed on a high-performance computer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5f875fead8d07ef283d460867a89f453
http://www.cai.sk/ojs/index.php/cai/article/view/3538
http://www.cai.sk/ojs/index.php/cai/article/view/3538
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Irina Peshkova, Alexander Rumyantsev
Publikováno v:
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, Iss 7 (2018)
We present regeneration techniques for perfomance estimation of multiserver system characteristics. Providing a necessary background of classical and weak regeneration notions, we focus on less well-known and mainly new construction of artificial cla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aff3707ab63e6eca5ebaf3569c0c5695
https://doi.org/10.17076/mat838
https://doi.org/10.17076/mat838