Cargando…

Scalable input/output : achieving system balance /

As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is proving to be a major constraint on the effective use of scie...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Reed, Daniel A.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cambridge, Mass. : MIT Press, ©2004.
Colección:Scientific and engineering computation.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:As we enter the "decade of data," the disparity between the vast amount of data storage capacity (measurable in terabytes and petabytes) and the bandwidth available for accessing it has created an input/output bottleneck that is proving to be a major constraint on the effective use of scientific data for research. Scalable Input/Output is a summary of the major research results of the Scalable I/O Initiative, launched by Paul Messina, then Director of the Center for Advanced Computing Research at the California Institute of Technology, to explore software and algorithmic solutions to the I/O imbalance. The contributors explore techniques for I/O optimization, including: I/O characterization to understand application and system I/O patterns; system checkpointing strategies; collective I/O and parallel database support for scientific applications; parallel I/O libraries and strategies for file striping, prefetching, and write behind; compilation strategies for out-of-core data access; scheduling and shared virtual memory alternatives; network support for low-latency data transfer; and parallel I/O application programming interfaces
Descripción Física:1 online resource (xv, 274 pages) : illustrations
Bibliografía:Includes bibliographical references.
ISBN:9780262287869
0262287862
0262681420
9780262681421
0262182335
9780262182331
1417562323
9781417562329