Comparison of HPC Architectures for Computing All-Pairs Shortest Paths: Intel Xeon Phi KNL vs NVIDIA Pascal

Today, one of the main challenges for high-performance computing systems is to improve their performance by keeping energy consumption at acceptable levels. In this context, a consolidated strategy consists of using accelerators such as GPUs or many-core Intel Xeon Phi processors. In this work, devi...

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Detalles Bibliográficos
Autores principales: Costanzo, Manuel, Rucci, Enzo, Costi, Ulises, Chichizola, Franco, Naiouf, Marcelo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Informáticas
Shortest paths
Floyd-Warshall
Xeon Phi
Knights Landing
NVIDIA Pascal
Titan X
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/125518
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-125518
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Informáticas
Shortest paths
Floyd-Warshall
Xeon Phi
Knights Landing
NVIDIA Pascal
Titan X
spellingShingle Ciencias Informáticas
Shortest paths
Floyd-Warshall
Xeon Phi
Knights Landing
NVIDIA Pascal
Titan X
Costanzo, Manuel
Rucci, Enzo
Costi, Ulises
Chichizola, Franco
Naiouf, Marcelo
Comparison of HPC Architectures for Computing All-Pairs Shortest Paths: Intel Xeon Phi KNL vs NVIDIA Pascal
topic_facet Ciencias Informáticas
Shortest paths
Floyd-Warshall
Xeon Phi
Knights Landing
NVIDIA Pascal
Titan X
description Today, one of the main challenges for high-performance computing systems is to improve their performance by keeping energy consumption at acceptable levels. In this context, a consolidated strategy consists of using accelerators such as GPUs or many-core Intel Xeon Phi processors. In this work, devices of the NVIDIA Pascal and Intel Xeon Phi Knights Landing architectures are described and compared. Selecting the Floyd-Warshall algorithm as a representative case of graph and memory-bound applications, optimized implementations were developed to analyze and compare performance and energy efficiency on both devices. As it was expected, Xeon Phi showed superior when considering double-precision data. However, contrary to what was considered in our preliminary analysis, it was found that the performance and energy efficiency of both devices were comparable using single-precision datatype.
format Objeto de conferencia
Objeto de conferencia
author Costanzo, Manuel
Rucci, Enzo
Costi, Ulises
Chichizola, Franco
Naiouf, Marcelo
author_facet Costanzo, Manuel
Rucci, Enzo
Costi, Ulises
Chichizola, Franco
Naiouf, Marcelo
author_sort Costanzo, Manuel
title Comparison of HPC Architectures for Computing All-Pairs Shortest Paths: Intel Xeon Phi KNL vs NVIDIA Pascal
title_short Comparison of HPC Architectures for Computing All-Pairs Shortest Paths: Intel Xeon Phi KNL vs NVIDIA Pascal
title_full Comparison of HPC Architectures for Computing All-Pairs Shortest Paths: Intel Xeon Phi KNL vs NVIDIA Pascal
title_fullStr Comparison of HPC Architectures for Computing All-Pairs Shortest Paths: Intel Xeon Phi KNL vs NVIDIA Pascal
title_full_unstemmed Comparison of HPC Architectures for Computing All-Pairs Shortest Paths: Intel Xeon Phi KNL vs NVIDIA Pascal
title_sort comparison of hpc architectures for computing all-pairs shortest paths: intel xeon phi knl vs nvidia pascal
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/125518
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AT costiulises comparisonofhpcarchitecturesforcomputingallpairsshortestpathsintelxeonphiknlvsnvidiapascal
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