Scalable Input/Output (eBook)

Achieving System Balance

Daniel A. Reed (Herausgeber)

eBook Download: PDF

2003
392 Seiten
The MIT Press (Verlag)
9780262287869 (ISBN)

Infos

The major research results from the Scalable Input/Output Initiative, exploring software and algorithmic solutions to the I/O imbalance.As we enter the "e;decade of data,"e; 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.

Produkt-Details

• Erscheint lt. Verlag: 20.6.2019
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Informatik ► Theorie / Studium
• ISBN-13: 9780262287869 / 9780262287869