Optimization of the N-body Simulation on Intel’s Architectures Based on AVX-512 Instruction Set

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 ar...

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Detalles Bibliográficos
Autores principales: Rucci, Enzo, Moreno, Ezequiel Tomás, Pousa, Adrián, Chichizola, Franco
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2020
Materias:
Ciencias Informáticas
N-body
AVX-512
Xeon Phi
Knights Landing
Xeon Platinum
Skylake
Cascade Lake
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/95855
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-95855
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
N-body
AVX-512
Xeon Phi
Knights Landing
Xeon Platinum
Skylake
Cascade Lake
spellingShingle Ciencias Informáticas
N-body
AVX-512
Xeon Phi
Knights Landing
Xeon Platinum
Skylake
Cascade Lake
Rucci, Enzo
Moreno, Ezequiel Tomás
Pousa, Adrián
Chichizola, Franco
Optimization of the N-body Simulation on Intel’s Architectures Based on AVX-512 Instruction Set
topic_facet Ciencias Informáticas
N-body
AVX-512
Xeon Phi
Knights Landing
Xeon Platinum
Skylake
Cascade Lake
description 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.
format Objeto de conferencia
Objeto de conferencia
author Rucci, Enzo
Moreno, Ezequiel Tomás
Pousa, Adrián
Chichizola, Franco
author_facet Rucci, Enzo
Moreno, Ezequiel Tomás
Pousa, Adrián
Chichizola, Franco
author_sort Rucci, Enzo
title Optimization of the N-body Simulation on Intel’s Architectures Based on AVX-512 Instruction Set
title_short Optimization of the N-body Simulation on Intel’s Architectures Based on AVX-512 Instruction Set
title_full Optimization of the N-body Simulation on Intel’s Architectures Based on AVX-512 Instruction Set
title_fullStr Optimization of the N-body Simulation on Intel’s Architectures Based on AVX-512 Instruction Set
title_full_unstemmed Optimization of the N-body Simulation on Intel’s Architectures Based on AVX-512 Instruction Set
title_sort optimization of the n-body simulation on intel’s architectures based on avx-512 instruction set
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/95855
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AT morenoezequieltomas optimizationofthenbodysimulationonintelsarchitecturesbasedonavx512instructionset
AT pousaadrian optimizationofthenbodysimulationonintelsarchitecturesbasedonavx512instructionset
AT chichizolafranco optimizationofthenbodysimulationonintelsarchitecturesbasedonavx512instructionset
bdutipo_str Repositorios
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