Scalable Input/Output: Achieving System Balance

Erscheinungsjahr 2003
ISBN: 978-0-262-68142-1
Verlag: MIT PR

Buch, Englisch, 392 Seiten, Trade Paperback, Format (B × H): 177 mm x 228 mm, Gewicht: 608 g

Reihe: Scientific and Engineering Computation

The major research results from the Scalable Input/Output Initiative, exploring software and algorithmic solutions to the I/O imbalance.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.

Autoren/Hrsg.

Reed, Daniel A.

Gropp, William

Lusk, Ewing

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Funktionale, Logische, Parallele und Visuelle Programmierung

Über Autor(innen)

Reed, Daniel A.
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.

Lusk, Ewing
Ewing Lusk is Argonne Distinguished Fellow Emeritus at Argonne National Laboratory.

Gropp, William
William Gropp is Director of the Parallel Computing Institute and Thomas M. Siebel Chair in Computer Science at the University of Illinois Urbana-Champaign.

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.