| 词条 | Parallel I/O |
| 释义 |
One particular instance is parallel writing of data to disk; when file data is spread across multiple disks, for example in a RAID array, one can store multiple parts of the data at the same time, thereby achieving higher write speeds than with a single device.[3][4] Other ways of parallel access to data include: Parallel Virtual File System, Lustre, GFS etc. FeaturesScientific computingIt is used for scientific computing and not for databases. It breaks up support into multiple layers including High level I/O library, Middleware layer and Parallel file system.[5] Parallel File System manages the single view, maintains logical space and provides access to data files.[6] StorageA single file may be stripped across one or more object storage target, which increases the bandwidth while accessing the file and available disk space.[7] The caches are larger in Parallel I/O and shared through distributed memory systems.[8][9][10][11] BreakthroughsCompanies have been running Parallel I/O on their servers to achieve results with regard to price and performance. Parallel processing is especially critical for scientific calculations where applications are not only CPU but also are I/O bound.[12] See also
References1. ^{{cite web | url=http://hssl.cs.jhu.edu/~randal/419/lectures/L15.ParallelIO.pdf | title=Parallel I/O | publisher=Johns Hopkins University}} {{DEFAULTSORT:Parallel I O}}{{compu-stub}}2. ^{{cite web | url=https://www.olcf.ornl.gov/wp-content/uploads/2011/10/Fall_IO.pdf | title=Introduction to Parallel I/O | publisher=Oak Ridge National Laboratory}} 3. ^{{cite web | url=http://www.cac.cornell.edu/education/training/ParallelMay2012/ParallelIOMay2012.pdf | title=Introduction: The Parallel I/O Stack | publisher=Cornell University}} 4. ^{{cite web | url=https://www.tacc.utexas.edu/documents/13601/900558/MPI-IO-Final.pdf/eea9d7d3-4b81-471c-b244-41498070e35d | title=Introduction to Parallel I/O | publisher=The University of Texas at Austin}} 5. ^{{cite web | url=http://www.scd.stfc.ac.uk//support/44958.aspx | title=Parallel I/O | publisher=Scientific Computing Department}} 6. ^{{cite web | url=http://cs.lbl.gov/news-media/news/2014/a-comprehensive-look-at-high-performance-parallel-i-o/ | title=A Comprehensive Look at High Performance Parallel I/O | publisher=Berkeley Lab}} 7. ^http://calcul.math.cnrs.fr/Documents/Manifestations/CIRA2011/2011-01_haefele_parallel_IO-workshop_Lyon.pdf 8. ^https://www.olcf.ornl.gov/wp-content/uploads/2013/05/OLCF-Data-Intro-IO-Gerber-FINAL.pdf 9. ^{{Cite web | url=http://cs.lbl.gov/news-media/news/2014/a-comprehensive-look-at-high-performance-parallel-i-o/ | title=A Comprehensive Look at High Performance Parallel I/O}} 10. ^{{Cite web | url=https://hdfgroup.org/wp/2015/04/parallel-io-why-how-and-where-to-hdf5/ | title=Parallel I/O – Why, How, and Where to?| date=2015-04-09}} 11. ^{{cite journal|author1=Teng Wang|author2=Kevin Vasko|author3=Zhuo Liu|author4=Hui Chen|author5=Weikuan Yu|title=Enhance parallel input/output with cross-bundle aggregation|journal=The International Journal of High Performance Computing Applications|volume=30|issue=2|pages=241–256|date=2016}} 12. ^{{cite book | doi=10.1007/978-3-642-01970-8_9 | title=Benefits of Parallel I/O in Ab Initio Nuclear Physics Calculations | journal=Lecture Notes in Computer Science | volume=5544 | pages=84–93| isbn=9783642019692 | date=2009-05-25 | last1=Laghave | first1=Nikhil | last2=Sosonkina | first2=Masha | last3=Maris | first3=Pieter | last4=Vary | first4=James P. }} 2 : Concurrency (computer science)|Input/output |
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