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Scalable Input/Output: Achieving System Balance by Daniel A. Reed (University of Illinois) at Abbey's Bookshop,
Scalable Input/Output: Achieving System Balance
— —
Daniel A. Reed (University of Illinois) William Gropp (Thomas M. Siebel Chair, University of Illinois Urbana-Champaign)

Scalable Input/Output

Achieving System Balance

Daniel A. Reed (University of Illinois),  William Gropp (Thomas M. Siebel Chair, University of Illinois Urbana-Champaign),  Ewing Lusk (Argonne Distinguished Fellow Emeritus, Argonne National Laboratory)

$100

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English
MIT Press
24 October 2003
Parallel processing
Series: 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."
Edited by:   , , , ,
Imprint:   MIT Press
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 178mm,  Spine: 19mm
Weight:   562g
ISBN:   9780262681421
ISBN 10:   0262681420
Series:   Scientific and Engineering Computation
Pages:   392
Publication Date:  
Recommended Age:   From 18 years
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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.

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