High-performance and hardware-aware computing: proceedings of the second International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC'11), San Antonio, Texas, USA, February 2011 ; (in conjunction with HPCA-17)

Rainer Buchty

ISBN 10: 3866446268 / ISBN 13: 9783866446267

Edité par Karlsruher Institut Für Technologie, Karlsruher Institut Für Technologie Okt 2014, 2014

A propos de cet article

Neuware -High-performance system architectures are increasingly exploiting heterogeneity. The HipHaC workshop aims at combining new aspects of parallel, heterogeneous, and reconfigurable microprocessor technologies with concepts of high-performance computing and, particularly, numerical solution methods. Compute- and memory-intensive applications can only benefit from the fullhardware potential if all features on all levels are taken into account in a holistic approach.Books on Demand GmbH, Überseering 33, 22297 Hamburg 68 pp. Englisch.

N° de réf. du vendeur 9783866446267

Détails bibliographiques

• Titre: High-performance and hardware-aware computing: proceedings of the second International Workshop on New Frontiers in High-performance and Hardware-aware Computing (HipHaC'11), San Antonio, Texas, USA, February 2011 ; (in conjunction with HPCA-17)
• Éditeur: Karlsruher Institut Für Technologie, Karlsruher Institut Für Technologie Okt 2014
• Date de parution: 2014
• Langue: anglais
• ISBN à 10 chiffres: 3866446268
• ISBN à 13 chiffres: 9783866446267
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 297 L x 210 H x 5 P (en millimètres) 297 millimètres de largeur par 210 millimètres de hauteur par 5 millimètres de profondeur
• Poids: 225 grammes

A propos de ce titre

Synopsis

High-performance system architectures are increasingly exploiting heterogeneity. The HipHaC workshop aims at combining new aspects of parallel, heterogeneous, and reconfigurable microprocessor technologies with concepts of high-performance computing and, particularly, numerical solution methods. Compute- and memory-intensive applications can only benefit from the full hardware potential if all features on all levels are taken into account in a holistic approach