000012635 001__ 12635
000012635 005__ 20160920162634.0
000012635 04107 $$aeng
000012635 046__ $$k2016-09-05
000012635 100__ $$aKrejsa, M.
000012635 24500 $$aProbabilistic structural modelling in parallel systems

000012635 24630 $$n6.$$pInsights and Innovations in Structural Engineering, Mechanics and Computation
000012635 260__ $$bTaylor and Francis Group, London, UK
000012635 506__ $$arestricted
000012635 520__ $$2eng$$aProbabilistic methods are used in engineering where a computational model contains random variables. The probabilistic computational methods for reliability calculations can be split e.g. into the three following groups: simulation based techniques, approximation techniques and numerical integration. Series of probabilistic methods were developed; each of them encounters problems of efficiency. The solution may be the use of multiprocessor systems (e.g. supercomputers such as supercomputer Anselm hosted by IT4 Innovations National Supercomputing Center in Ostrava), which enable a large number of computing operations divided by the number of used processing units or cores. Series of probabilistic methods advantageously allows implementing the algorithm of parallelization. Also, a newly developed method Direct Optimized Probabilistic Calculation—“DOProC”, seems for usage in parallel systems as very efficient.

000012635 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000012635 653__ $$a

000012635 7112_ $$aSixth International Conference on Structural Engineering, Mechanics and Computation$$cCape Town, South Africa$$d2016-09-05 / 2016-09-07$$gSEMC2016
000012635 720__ $$aKrejsa, M.$$iCajka, R.$$iJanas, P.$$iBrozovsky, J.$$iKrejsa, V.
000012635 8560_ $$ffischerc@itam.cas.cz
000012635 8564_ $$s1179978$$uhttps://invenio.itam.cas.cz/record/12635/files/083.pdf$$yOriginal version of the author's contribution as presented on CD, 083.pdf.
000012635 962__ $$r12552
000012635 980__ $$aPAPER