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Scalable Input/Output

Achieving System Balance
Online Resource
392 Seiten
2019
MIT Press (Hersteller)
978-0-262-28786-9 (ISBN)
CHF 79,95 inkl. MwSt
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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.

Daniel A. Reed holds the Edward William and Jane Marr Gutgsell Professorship at the University of Illinois at Urbana-Champaign. He is also Director of the National Center for Supercomputing Applications (NCSA), Director of the National Computational Science Alliance, and Chief Architect, NSF TeraGrid.

Erscheint lt. Verlag 20.6.2019
Reihe/Serie Scientific and Engineering Computation
Verlagsort Cambridge, Mass.
Sprache englisch
Maße 178 x 229 mm
Themenwelt Mathematik / Informatik Informatik Theorie / Studium
Informatik Weitere Themen Hardware
ISBN-10 0-262-28786-2 / 0262287862
ISBN-13 978-0-262-28786-9 / 9780262287869
Zustand Neuware
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