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008			250702b |||||||| |||| 00| 0 eng d
020			_a9780262681421 _qpbk
041			_aeng
082			_a004.7 _bREE
100			_aReed Daniel A.
245			_aScalable Input/output _b: achieving system balance _cDaniel A. Reed
260			_aCambridge, Mass., _bMit Press, _c©2004
300			_axv; 374 p. _c23 cm.
504			_aBiblio
520			_aAs 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
650			_a Computer Science/high Performance Computing Computers Hardware Peripherals Computer Input-output Equipment
942			_cREF
999			_c574626 _d574626