• Performance evaluation and com...

Treffer: Performance evaluation and comparison of parallel conjugate gradient on modern multi-core accelerator and massively parallel systems

Title:
Performance evaluation and comparison of parallel conjugate gradient on modern multi-core accelerator and massively parallel systems
Authors:
SIBAI, Fadi N, EL-MOURSY, Ali
Source:
International journal of parallel, emergent and distributed systems (Print). 29(1-2):38-67
Publisher Information:
Abingdon: Taylor & Francis, 2014.
Publication Year:
2014
Physical Description:
print, 38 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Recherche information. Graphe, Information retrieval. Graph, Logiciel, Software, Traitement des langages et microprogrammation, Language processing and microprogramming, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Accélérateur, Accelerator, Acelerador, Algorithme parallèle, Parallel algorithm, Algoritmo paralelo, Calcul réparti, Distributed computing, Cálculo repartido, Carte graphique, Graphic processing unit, Unidad de proceso gráfico, Circuit cellulaire, Cellular circuit, Circuito celular, Evaluation performance, Performance evaluation, Evaluación prestación, Extensibilité, Scalability, Estensibilidad, Haute performance, High performance, Alto rendimiento, Largeur bande, Bandwidth, Anchura banda, Machine parallèle, Parallel machines, Modélisation, Modeling, Modelización, Méthode gradient conjugué, Conjugate gradient method, Método gradiente conjugado, Méthode graphe, Graph method, Método grafo, Noyau système, System core, Núcleo sistema, Parallélisme massif, Massive parallelism, Paralelismo masivo, Processeur multicoeur, Multicore processor, Procesador MultiNúcleo, Superordinateur, Supercomputer, Supercomputador, Système cellulaire, Cell system, Sistema celular, Système réparti, Distributed system, Sistema repartido, Unité centrale, Central unit, Unidad central, Envoi message, Message passing, Paso de mensajes, Special-purpose and application-based systems, mathematical software, message-passing systems, multi-core accelerators, multiple processor systems, parallel and vector implementations
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
R&D Center, Saudi Aramco, Dhahran 31311, Saudi Arabia
Department of Electrical and Computer Engineering, University of Sharjah, Sharjah, United Arab Emirates
ISSN:
1744-5760
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=28137106
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.28137106
Database:
PASCAL Archive

Weitere Informationen

Two parallel computer paradigms available today are multi-core accelerators such as the Sony, Toshiba and IBM Cell or Graphics Processing Unit (GPUs), and massively parallel message-passing machines such as the IBM Blue Gene (BG). The solution of systems of linear equations is one of the most central processing unit-intensive steps in engineering and simulation applications and can greatly benefit from the multitude of processing cores and vectorisation on today's parallel computers. We parallelise the conjugate gradient (CG) linear equation solver on the Cell Broadband Engine and the IBM Blue Gene/L machine. We perform a scalability analysis of CG on both machines across 1, 8 and 16 synergistic processing elements and 1-32 cores on BG with heptadiagonal matrices. The results indicate that the multi-core Cell system outperforms by three to four times the massively parallel BG system due to the Cell's higher communication bandwidth and accelerated vector processing capability.