Please use this identifier to cite or link to this item:
http://hdl.handle.net/2067/46047
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Amati, Giorgio | it |
dc.contributor.author | Succi, Sauro | it |
dc.contributor.author | Fanelli, Pierluigi | it |
dc.contributor.author | Krastev, Vesselin K. | it |
dc.contributor.author | Falcucci, Giacomo | it |
dc.date.accessioned | 2021-11-08T23:48:38Z | - |
dc.date.available | 2021-11-08T23:48:38Z | - |
dc.date.issued | 2021 | it |
dc.identifier.issn | 1877-7503 | it |
dc.identifier.uri | http://hdl.handle.net/2067/46047 | - |
dc.description.abstract | In the next years, the first Exascale class supercomputers will go online. In this paper, we portray a prospective Exascale scenario for a Lattice Boltzmann (LB) code, based on the performance obtained exploiting an up-to-date Petascale HPC facility. Although extrapolation is always a perilous exercise, in this work we aim to lay down a few guidelines to help the LBM community to carefully plan larger and more complex simulations using the forthcoming Exascale supercomputer machines. | it |
dc.title | Projecting LBM performance on Exascale class Architectures: A tentative outlook | it |
dc.type | article | * |
dc.identifier.doi | 10.1016/j.jocs.2021.101447 | it |
dc.identifier.scopus | 2-s2.0-85116563979 | it |
dc.identifier.url | https://api.elsevier.com/content/abstract/scopus_id/85116563979 | it |
dc.relation.journal | JOURNAL OF COMPUTATIONAL SCIENCE | it |
dc.relation.article | 101447 | it |
dc.relation.volume | 55 | it |
dc.type.miur | 262 | * |
item.fulltext | With Fulltext | - |
item.openairetype | article | - |
item.cerifentitytype | Publications | - |
item.grantfulltext | restricted | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.orcid | 0000-0002-5095-4107 | - |
crisitem.journal.journalissn | 1877-7503 | - |
crisitem.journal.ance | E210710 | - |
Appears in Collections: | A1. Articolo in rivista |
Files in This Item:
File | Description | Size | Format | Existing users please |
---|---|---|---|---|
51_Amati_et_al_Journal-of-computational-science_2021.pdf | 2.3 MB | Adobe PDF | Request a copy |
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