Rodyti trumpą aprašą

dc.contributor.authorPacevič, Ruslan
dc.contributor.authorKačeniauskas, Arnas
dc.contributor.authorKačianauskas, Rimantas
dc.contributor.authorBarauskas, Rimantas
dc.date.accessioned2023-09-18T20:07:49Z
dc.date.available2023-09-18T20:07:49Z
dc.date.issued2019
dc.identifier.issn1759-3433
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/146763
dc.description.abstractThe paper presents a memory saving GPU implementation of contact search for the discrete element method (DEM) simulations. The developed GPU implementation is particularly suitable for DEM simulations of large number of discrete particles, moving in large computational domains with empty regions, because the size of data structures for contact search does not depend on the number of uniform grid cells. The implemented hash table of fixed size has the added benefit of allowing the grid to be unbounded in size. The performance of the developed OpenCL code is evaluated solving applications of particle fall under gravity. Performance achieved by using the developed implementation of contact search is compared with that attained by using the standard uniform grid method. The performance measured on NVIDIA® Tesla™P100 GPU is compared with that attained by using the same OpenCL code on Intel®Xeon™ E5-2630 CPU with 20 cores. Sufficiently high speedup values are observed for different numbers of particles in spite of intensive usage of advanced vector extensions by OpenCL on CPU. Performed analysis reveals that the developed GPU implementation of contact search significantly reduce the memory required for discrete element method simulations of hopper flow.eng
dc.formatPDF
dc.format.extentp. 1-12
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.source.urihttps://www.ctresources.info/ccp/paper.html?id=9292
dc.titleMemory saving GPU implementation of contact search for the discrete element method
dc.typeStraipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication
dcterms.references32
dc.type.pubtypeP1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings
dc.contributor.institutionVilniaus Gedimino technikos universitetas Kauno technologijos universitetas
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.institutionKauno technologijos universitetas
dc.contributor.facultyFundamentinių mokslų fakultetas / Faculty of Fundamental Sciences
dc.contributor.facultyTeritorijų planavimo mokslo institutas / Research Institute of Territorial Planning
dc.contributor.facultyMechanikos fakultetas / Faculty of Mechanics
dc.subject.researchfieldT 007 - Informatikos inžinerija / Informatics engineering
dc.subject.researchfieldT 009 - Mechanikos inžinerija / Mechanical enginering
dc.subject.vgtuprioritizedfieldsIK05 - Virtuali ir pridėtinė realybė / Virtual and augmented reality
dc.subject.ltspecializationsL106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies
dc.subject.enGPU
dc.subject.endiscrete element method
dc.subject.encontact search
dc.subject.enOpenCL
dc.subject.enhopper flow
dcterms.sourcetitleCivil-Comp proceedings 112. Proceedings of the sixth international conference on Parallel, Distributed, GPU and Cloud Computing for Engineering, University of Pécs, Hungary, 4-5 June 2019 / Edited by: P. Iványi, B.H.V. Topping
dc.publisher.nameCivil-Comp Press
dc.publisher.cityStirlingshire
dc.identifier.doi10.4203/ccp.112.24
dc.identifier.elaba40983212


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