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dc.date.accessioned | 2020-05-13T16:03:02Z | |
dc.date.available | 2020-05-13T16:03:02Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/95855 | |
dc.description.abstract | The N-body simulations have become a powerful tool to test the gravitational interaction among particles, ranging from a few bodies to complete galaxies. Even though N-body has already been optimized on many parallel platforms, there are hardly any studies which take advantage of the latest Intel architectures based on AVX-512 instruction set. This SIMD set was initially supported by Intel’s Xeon Phi Knights Landing (KNL) manycore processors launched at 2016. Recently, it has been included in Intel’s general-purpose processors too, starting at the Skylake (SKL) server microarchitecture and now in its successor Cascade Lake (CKL). This paper optimizes the all-pairs N-body simulation on both current Intel platforms supporting AVX-512 extensions: a Xeon Phi KNL node and a server equipped with a dual CKL processor. On the basis of a naive implementation, it is shown how the parallel implementation (can) reach, through different optimization techniques, 2355 and 2449 GFLOPS on the Xeon Phi KNL and the Xeon CKL platforms, respectively. | en |
dc.language | es | es |
dc.subject | N-body | es |
dc.subject | AVX-512 | es |
dc.subject | Xeon Phi | es |
dc.subject | Knights Landing | es |
dc.subject | Xeon Platinum | es |
dc.subject | Skylake | es |
dc.subject | Cascade Lake | es |
dc.title | Optimization of the N-body Simulation on Intel’s Architectures Based on AVX-512 Instruction Set | en |
dc.type | Objeto de conferencia | es |
sedici.identifier.other | https://doi.org/10.1007/978-3-030-48325-8_3 | es |
sedici.identifier.issn | 1865-0937 | es |
sedici.identifier.isbn | 978-3-030-48325-8 | es |
sedici.creator.person | Rucci, Enzo | es |
sedici.creator.person | Moreno, Ezequiel Tomás | es |
sedici.creator.person | Pousa, Adrián | es |
sedici.creator.person | Chichizola, Franco | es |
sedici.description.note | Publicado en Communications in Computer and Information Science book series (vol. 1184). | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Red de Universidades con Carreras en Informática | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
sedici.date.exposure | 2020 | |
sedici.relation.event | 25th Argentine Congress of Computer Science, CACIC 2019 (Río Cuarto, Argentina, October 14–18, 2019) | es |
sedici.description.peerReview | peer-review | es |
sedici.relation.bookTitle | Computer Science – CACIC 2019 | es |