dc.contributor.author | Pacevič, Ruslan | |
dc.contributor.author | Kačeniauskas, Arnas | |
dc.contributor.author | Kačianauskas, Rimantas | |
dc.contributor.author | Barauskas, Rimantas | |
dc.date.accessioned | 2023-09-18T20:07:49Z | |
dc.date.available | 2023-09-18T20:07:49Z | |
dc.date.issued | 2019 | |
dc.identifier.issn | 1759-3433 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/146763 | |
dc.description.abstract | The 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.format | PDF | |
dc.format.extent | p. 1-12 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.source.uri | https://www.ctresources.info/ccp/paper.html?id=9292 | |
dc.title | Memory saving GPU implementation of contact search for the discrete element method | |
dc.type | Straipsnis recenzuotame konferencijos darbų leidinyje / Paper published in peer-reviewed conference publication | |
dcterms.references | 32 | |
dc.type.pubtype | P1d - Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas Kauno technologijos universitetas | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.institution | Kauno technologijos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.contributor.faculty | Teritorijų planavimo mokslo institutas / Research Institute of Territorial Planning | |
dc.contributor.faculty | Mechanikos fakultetas / Faculty of Mechanics | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.researchfield | T 009 - Mechanikos inžinerija / Mechanical enginering | |
dc.subject.vgtuprioritizedfields | IK05 - Virtuali ir pridėtinė realybė / Virtual and augmented reality | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | GPU | |
dc.subject.en | discrete element method | |
dc.subject.en | contact search | |
dc.subject.en | OpenCL | |
dc.subject.en | hopper flow | |
dcterms.sourcetitle | Civil-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.name | Civil-Comp Press | |
dc.publisher.city | Stirlingshire | |
dc.identifier.doi | 10.4203/ccp.112.24 | |
dc.identifier.elaba | 40983212 | |