Librería:
AwesomeBooks, Wallingford, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Vendedor de AbeBooks desde 28 de noviembre de 2006
Data-Intensive Computing: Architectures, Algorithms, and Applications This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. . N° de ref. del artículo 7719-9780521191951
Describes principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today.
Acerca de los autores:
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.
Título: Data-Intensive Computing: Architectures, ...
Editorial: Cambridge University Press
Año de publicación: 2012
Encuadernación: Hardcover
Condición: Very Good
Librería: AMM Books, Gillingham, KENT, Reino Unido
Hardcover. Condición: Very Good. Unread. In stock ready to dispatch from the UK. Nº de ref. del artículo: mon0000207033
Cantidad disponible: 2 disponibles
Librería: Labyrinth Books, Princeton, NJ, Estados Unidos de America
Condición: Very Good. Nº de ref. del artículo: 153949
Cantidad disponible: 1 disponibles
Librería: AMM Books, Gillingham, KENT, Reino Unido
Hardcover. Condición: New. In stock ready to dispatch from the UK. Nº de ref. del artículo: mon0000207032
Cantidad disponible: 5 disponibles
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Condición: New. Nº de ref. del artículo: ABLIING23Feb2215580247107
Cantidad disponible: Más de 20 disponibles
Librería: Revaluation Books, Exeter, Reino Unido
Hardcover. Condición: Brand New. 312 pages. 9.10x0.80x6.00 inches. In Stock. This item is printed on demand. Nº de ref. del artículo: __0521191955
Cantidad disponible: 1 disponibles
Librería: California Books, Miami, FL, Estados Unidos de America
Condición: New. Nº de ref. del artículo: I-9780521191951
Cantidad disponible: Más de 20 disponibles
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 550. Nº de ref. del artículo: C9780521191951
Cantidad disponible: Más de 20 disponibles
Librería: moluna, Greven, Alemania
Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This reference for computing professionals and researchers describes the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Applications in bioinformatic. Nº de ref. del artículo: 446929486
Cantidad disponible: Más de 20 disponibles
Librería: CitiRetail, Stevenage, Reino Unido
Hardcover. Condición: new. Hardcover. The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice. This reference for computing professionals and researchers describes the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Applications in bioinformatics and cybersecurity illustrate these principles in practice. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9780521191951
Cantidad disponible: 1 disponibles
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
Hardcover. Condición: new. Hardcover. The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioinformatics and cybersecurity that illustrate these principles in practice. This reference for computing professionals and researchers describes the general principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today. Applications in bioinformatics and cybersecurity illustrate these principles in practice. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9780521191951
Cantidad disponible: 1 disponibles