Data-Intensive Computing: Architectures, Algorithms, and Applications

ISBN 10: 0521191955 / ISBN 13: 9780521191951

Edité par Cambridge University Press, 2012

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Détails bibliographiques

• Titre: Data-Intensive Computing: Architectures, Algorithms, and Applications
• Éditeur: Cambridge University Press
• Date de parution: 2012
• Langue: anglais
• ISBN à 10 chiffres: 0521191955
• ISBN à 13 chiffres: 9780521191951
• Reliure: Hardcover
• État de l'article: New

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Synopsis

Describes principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today.

À propos des auteurs

Ian Gorton is a Laboratory Fellow in Computational Sciences and Math at Pacific Northwest National Laboratory (PNNL), where he manages the Data Intensive Scientific Computing Group and was the Chief Architect for PNNL's Data Intensive Computing Initiative. Gorton is a Senior Member of the IEEE Computer Society and a Fellow of the Australian Computer Society.

Debbie Gracio joined Pacific Northwest National Laboratory in 1990 and is currently the Director for the Computational and Statistical Analytics Division and for the Data Intensive Computing Research Initiative. Since joining the laboratory, she has led the research, development, and management of multiple cross-disciplinary, multi-laboratory projects focused in the basic sciences and national security sectors.