Scalable input/output : achieving system balance / edited by Daniel A. Reed.

Format:

Book

Contributor:

Reed, Daniel A. (Daniel Allen), 1957-

Series:

Scientific and engineering computation

Language:

English

Subjects (All):

Computer input-output equipment.

Parallel computers.

Memory management (Computer science).

Physical Description:

1 online resource (xv, 274 pages) : illustrations.

Place of Publication:

Cambridge, Mass. : MIT Press, [2004]

System Details:

text file

Summary:

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.

Notes:

OCLC-licensed vendor bibliographic record.

ISBN:

9780262287869

0262287862

0262681420

9780262681421

0262182335

9780262182331

1417562323

9781417562329

OCLC:

57197318

Access Restriction:

Restricted for use by site license.