| 刊年 | 2004 |
| G/SMD | リモートファイル |
| 形態 | 1 online resource (xv, 274 p.) : ill. |
| シリーズ名 | Scientific and engineering computation
|
| 注記 | Includes bibliographical references
Restricted to subscribers or individual electronic text purchasers
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
Also available in print
Mode of access: World Wide Web
Description based on PDF viewed 12/23/2015
URL:https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267463(Abstract with links to resource) |
| 出版国 | アメリカ合衆国 |
| 標題言語 | 英語 |
| 本文言語 | 英語 |
| 著者情報 | Reed, Daniel A.
|
| ISBN | 9780262287869(: electronic bk)
|
| 無効/取消ISBN | 9780262681421(: electronic bk)
|
| 件名 | LCSH:Memorymanagement(Computerscience)
LCSH:Parallelcomputers
LCSH:Computerinput-outputequipment
|
| NCID | 6267463 |
| IDENT | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=6267463 |