Scalable Input/Output (Achieving System Balance)

ISBN: 9780262681421
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$40.00
SKU:
9780262681421
Availability:
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Minimum Purchase:
25 units
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Product Details

Author:
Daniel A. Reed
Format:
Paperback
Pages:
392
Publisher:
MIT Press (October 24, 2003)
Language:
English
ISBN-13:
9780262681421
ISBN-10:
0262681420
Weight:
13oz
Dimensions:
7" x 9"
Case Pack:
24
File:
RandomHouse-PRH_Book_Company_PRH_PRT_Onix_full_active_D20250706T180326_152409950-20250706.xml
Folder:
RandomHouse
List Price:
$40.00
Series:
Scientific and Engineering Computation
As low as:
$20.00
Shipping Origin:
Crawfordsville, IN
Publisher Identifier:
P-RH
Discount Code:
A
Audience:
General/trade
Country of Origin:
United States
Pub Discount:
65
Imprint:
The MIT Press

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Overview

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.

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