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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Scalable Input/Output: Achieving System Balance

Scalable Input/Output: Achieving System Balance

Reed, Daniel A.

Paperback

Series: Scientific and Engineering Computation

General Computers

ISBN10: 0262681420
ISBN13: 9780262681421
Publisher: MIT Press
Published: Oct 24 2003
Pages: 392
Weight: 1.34
Height: 0.81 Width: 6.98 Depth: 8.96
Language: English
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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