dc.contributor.author | Tirado-Ramos, A. | en |
dc.contributor.author | Tsouloupas, George | en |
dc.contributor.author | Dikaiakos, Marios D. | en |
dc.contributor.author | Sloot, P. | en |
dc.contributor.editor | Sunderam V.S. | en |
dc.contributor.editor | Albada G.D. | en |
dc.contributor.editor | Sloot P.M.A. | en |
dc.contributor.editor | Dongarra J.J. | en |
dc.creator | Tirado-Ramos, A. | en |
dc.creator | Tsouloupas, George | en |
dc.creator | Dikaiakos, Marios D. | en |
dc.creator | Sloot, P. | en |
dc.date.accessioned | 2019-11-13T10:42:28Z | |
dc.date.available | 2019-11-13T10:42:28Z | |
dc.date.issued | 2005 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/55062 | |
dc.description.abstract | Grid benchmarking for improved computational resource selection can shed a light for improving the performance of computationally intensive applications. In this paper we report on a number of experiments with a biomedical parallel application to investigate the levels of performance offered by hardware resources distributed across a pan-European computational Grid network. We provide a number of performance measurements based on the iteration time per processor and communication delay between processors, for a blood flow simulation benchmark based on the lattice Boltzmann method. We have found that the performance results obtained from real application benchmarking are much more useful for running our biomedical application on a highly distributed grid infrastructure than the regular resource information provided by standard Grid information services to resource brokers. © Springer-Verlag Berlin Heidelberg 2005. | en |
dc.source | Lecture Notes in Computer Science | en |
dc.source | 5th International Conference on Computational Science - ICCS 2005 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-25144483377&partnerID=40&md5=2b7c8d3fc13e5d17ba3d29238ea63880 | |
dc.subject | Computer simulation | en |
dc.subject | Computational complexity | en |
dc.subject | Benchmarking | en |
dc.subject | Biomedical engineering | en |
dc.subject | Hemodynamics | en |
dc.subject | Grid benchmarking | en |
dc.subject | Grid infrastructure | en |
dc.subject | Resource selection | en |
dc.title | Grid resource selection by application benchmarking for computational haemodynamics applications | en |
dc.type | info:eu-repo/semantics/conferenceObject | |
dc.description.volume | 3514 | |
dc.description.startingpage | 534 | |
dc.description.endingpage | 543 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Conference Object | en |
dc.description.notes | <p>Sponsors: Intel Corporation | en |
dc.description.notes | IBM Corporation | en |
dc.description.notes | Microsoft Research | en |
dc.description.notes | SGI Silicon Graphics Inc. | en |
dc.description.notes | Emory University | en |
dc.description.notes | Conference code: 65644 | en |
dc.description.notes | Cited By :8</p> | en |
dc.contributor.orcid | Dikaiakos, Marios D. [0000-0002-4350-6058] | |
dc.gnosis.orcid | 0000-0002-4350-6058 | |