Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two (Chapman & Hall/Crc Compurational Science, 2)

ISBN 10: 0367377756 / ISBN 13: 9780367377755

Edité par Chapman and Hall/CRC, 2019

A propos de cet article

1st edition NO-PA16APR2015-KAP.

N° de réf. du vendeur 26386771140

Détails bibliographiques

• Titre: Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two (Chapman & Hall/Crc Compurational Science, 2)
• Éditeur: Chapman and Hall/CRC
• Date de parution: 2019
• Langue: anglais
• ISBN à 10 chiffres: 0367377756
• ISBN à 13 chiffres: 9780367377755
• Reliure: Couverture souple
• État de l'article: New

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Synopsis

HPC is used to solve a number of complex questions in computational and data-intensive sciences. These questions include the simulation and modeling of physical phenomena, such as climate change, energy production, drug design, global security, and materials design; the analysis of large data sets such as those in genome sequencing, astronomical observation, and cybersecurity; and the intricate design of engineered products, such as airplanes and automobiles.

This second volume of Contemporary High Performance Computing: From Petascale toward Exascale continues to document international HPC ecosystems, including the sponsors and sites that host them. Each chapter is punctuated with a site's flagship system and:

• Presents highlights of applications, workloads, and benchmarks
• Describes hardware architectures, system software, and programming systems
• Explores storage, visualization, and analytics
• Examines the data center/facility as well as system statistics

Featuring pictures of buildings and systems in production, floorplans, and many block diagrams and charts to illustrate system design and performance, Contemporary High Performance Computing: From Petascale toward Exascale, Volume Two delivers a detailed snapshot of the rich history of practice in modern HPC. This book provides a valuable reference for researchers in HPC and computational science.

À propos de l?auteur

Jeffrey S. Vetter holds a joint appointment at Oak Ridge National Laboratory (ORNL) and the Georgia Institute of Technology (Georgia Tech). At ORNL, he is a distinguished R&D staff member and the founding group leader of the Future Technologies Group in the Computer Science and Mathematics Division. At Georgia Tech, Dr. Vetter is a professor in the Computational Science and Engineering School of the College of Computing, the principal investigator for the NSF XSEDE Keeneland GPU Supercomputer, and the director of the NVIDIA CUDA Center of Excellence. He earned his Ph.D in computer science from Georgia Tech. A senior member of the IEEE and a distinguished scientist member of the ACM, Dr. Vetter has published more than 130 peer-reviewed papers and has been a recipient of the ACM Gordon Bell Prize. His current research explores the role of emerging technologies in high performance computing.