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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...

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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
Tabla de Contenidos:
  • I/O [input/output] characterization and analysis / Phyllis E. Crandall, Ruth A. Aydt, Andrew A. Chien and Daniel A. Reed
  • Collective I/O and large-scale data management / Alok Choudhary [and others]
  • Building parallel database systems for multidimensional data / Chailin Chang, Tahsin M. Kurc, Alan Sussman and Joel Saltz
  • ADIO : a framework for high-performance, portable parallel I/O / Rajeev Thakur, William Gropp and Ewing Lusk
  • Informed prefetching of collective input/output requests / Tara M. Madhyastha, Gartha A. Gibson, and Christos Faloutsos
  • Compiler support for out-of-core arrays on parallel machines / Bradley Broom [and others]
  • CLIP : a checkpointing tool for message passing parallel programs / Yuqun Chen, James S. Plank and Kai Li
  • Learning to classify parallel I/O access patterns / Tara M. Madhyastha and Daniel A. Reed
  • Thread scheduling for out-of-core applications with a memory server / Yuanyuan Zhou, Limin Wang, Douglas W. Clark and Kai Li.
  • A scalability study of shared virtual memory systems / Yuanyuan Zhou, Liviu Iftode and Kai Li
  • Appendix: Proposal for a common parallel file system programming interface / Peter F. Corbett [and others].