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Scalable Input/Output: Achieving System Balance (Scientific and Engineering Computation)

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Scalable Input/Output: Achieving System Balance (Scientific and Engineering Computation) Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

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

Synopsis:

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.

About the Author

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.

Product Details

ISBN:
9780262681421
Editor:
Reed, Daniel A.
Publisher:
Mit Press
Editor:
Reed, Daniel A.
Author:
Reed, Daniel A.
Location:
Cambridge
Subject:
Computer Science
Subject:
Computer input-output equipment
Subject:
Parallel computers
Subject:
Hardware - Peripherals
Subject:
Personal Computers-Peripherals
Edition Description:
Trade paper
Series:
Scientific and Engineering Computation Scalable Input/Output
Publication Date:
20031031
Binding:
TRADE PAPER
Grade Level:
from 17
Language:
English
Illustrations:
Y
Pages:
392
Dimensions:
9 x 7 in

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Personal Computers » General
Computers and Internet » Personal Computers » Peripherals

Scalable Input/Output: Achieving System Balance (Scientific and Engineering Computation) New Trade Paper
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Product details 392 pages MIT Press - English 9780262681421 Reviews:
"Synopsis" by , The major research results from the Scalable Input/Output Initiative, exploring software and algorithmic solutions to the I/O imbalance.
"Synopsis" by , 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.
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