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Parallel I/O
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<h2 id="features">Features</h2> <h3>Scientific computing</h3> <p>It 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.<a class="footnote-ref" id="fnref:5" href="#fn:5"><sup>5</sup></a> Parallel File System manages the single view, maintains logical space and provides access to data files.<a class="footnote-ref" id="fnref:6" href="#fn:6"><sup>6</sup></a> </p> <h3>Storage</h3> <p>A single file may be stripped across one or more object storage target, which increases the bandwidth while accessing the file and available disk space.<a class="footnote-ref" id="fnref:7" href="#fn:7"><sup>7</sup></a> The caches are larger in Parallel I/O and shared through distributed memory systems.<a class="footnote-ref" id="fnref:8" href="#fn:8"><sup>8</sup></a><a class="footnote-ref" id="fnref:9" href="#fn:9"><sup>9</sup></a><a class="footnote-ref" id="fnref:10" href="#fn:10"><sup>10</sup></a><a class="footnote-ref" id="fnref:11" href="#fn:11"><sup>11</sup></a> </p> <h3>Breakthroughs</h3> <p>Companies 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.<a class="footnote-ref" id="fnref:12" href="#fn:12"><sup>12</sup></a> </p> <h2 id="see-also">See also</h2> <ul><li><a href="/facts/Converged_infrastructure/ykB8FDgk">Converged infrastructure</a></li> <li><a href="/facts/Dynamic_infrastructure/MBhMK8rr">Dynamic infrastructure</a></li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>"Parallel I/O" (PDF). Johns Hopkins University. Archived from the original (PDF) on 2015-06-30. Retrieved 2016-03-25. <a href="https://web.archive.org/web/20150630015051/http://hssl.cs.jhu.edu/~randal/419/lectures/L15.ParallelIO.pdf" target="_blank">https://web.archive.org/web/20150630015051/http://hssl.cs.jhu.edu/~randal/419/lectures/L15.ParallelIO.pdf</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>"Introduction to Parallel I/O" (PDF). Oak Ridge National Laboratory. <a href="https://www.olcf.ornl.gov/wp-content/uploads/2011/10/Fall_IO.pdf" target="_blank">https://www.olcf.ornl.gov/wp-content/uploads/2011/10/Fall_IO.pdf</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> <li id="fn:3"><p>"Introduction: The Parallel I/O Stack" (PDF). Cornell University. <a href="http://www.cac.cornell.edu/education/training/ParallelMay2012/ParallelIOMay2012.pdf" target="_blank">http://www.cac.cornell.edu/education/training/ParallelMay2012/ParallelIOMay2012.pdf</a> <a href="#fnref:3" class="footnote-back-ref">↩</a></p></li> <li id="fn:4"><p>"Introduction to Parallel I/O". The University of Texas at Austin. Archived from the original on 2015-09-06. Retrieved 2016-03-25. <a href="https://web.archive.org/web/20150906152916/https://www.tacc.utexas.edu/documents/13601/900558/MPI-IO-Final.pdf/eea9d7d3-4b81-471c-b244-41498070e35d" target="_blank">https://web.archive.org/web/20150906152916/https://www.tacc.utexas.edu/documents/13601/900558/MPI-IO-Final.pdf/eea9d7d3-4b81-471c-b244-41498070e35d</a> <a href="#fnref:4" class="footnote-back-ref">↩</a></p></li> <li id="fn:5"><p>"Parallel I/O". Scientific Computing Department. Archived from the original on 2016-04-11. Retrieved 2016-03-25. <a href="https://web.archive.org/web/20160411160931/http://www.scd.stfc.ac.uk//support/44958.aspx" target="_blank">https://web.archive.org/web/20160411160931/http://www.scd.stfc.ac.uk//support/44958.aspx</a> <a href="#fnref:5" class="footnote-back-ref">↩</a></p></li> <li id="fn:6"><p>"A Comprehensive Look at High Performance Parallel I/O". Berkeley Lab. 31 October 2014. <a href="http://cs.lbl.gov/news-media/news/2014/a-comprehensive-look-at-high-performance-parallel-i-o/" target="_blank">http://cs.lbl.gov/news-media/news/2014/a-comprehensive-look-at-high-performance-parallel-i-o/</a> <a href="#fnref:6" class="footnote-back-ref">↩</a></p></li> <li id="fn:7"><p>"Parallel I/O for High Performance Computing" (PDF). Archived from the original (PDF) on 2016-04-19. <a href="https://web.archive.org/web/20160419162030/http://calcul.math.cnrs.fr/Documents/Manifestations/CIRA2011/2011-01_haefele_parallel_IO-workshop_Lyon.pdf" target="_blank">https://web.archive.org/web/20160419162030/http://calcul.math.cnrs.fr/Documents/Manifestations/CIRA2011/2011-01_haefele_parallel_IO-workshop_Lyon.pdf</a> <a href="#fnref:7" class="footnote-back-ref">↩</a></p></li> <li id="fn:8"><p>"Introduction to High Performance Parallel I/O" (PDF). Archived from the original (PDF) on 2016-04-15. <a href="https://web.archive.org/web/20160415075220/https://www.olcf.ornl.gov/wp-content/uploads/2013/05/OLCF-Data-Intro-IO-Gerber-FINAL.pdf" target="_blank">https://web.archive.org/web/20160415075220/https://www.olcf.ornl.gov/wp-content/uploads/2013/05/OLCF-Data-Intro-IO-Gerber-FINAL.pdf</a> <a href="#fnref:8" class="footnote-back-ref">↩</a></p></li> <li id="fn:9"><p>"A Comprehensive Look at High Performance Parallel I/O". 31 October 2014. <a href="http://cs.lbl.gov/news-media/news/2014/a-comprehensive-look-at-high-performance-parallel-i-o/" target="_blank">http://cs.lbl.gov/news-media/news/2014/a-comprehensive-look-at-high-performance-parallel-i-o/</a> <a href="#fnref:9" class="footnote-back-ref">↩</a></p></li> <li id="fn:10"><p>"Parallel I/O – Why, How, and Where to?". 2015-04-09. <a href="https://hdfgroup.org/wp/2015/04/parallel-io-why-how-and-where-to-hdf5/" target="_blank">https://hdfgroup.org/wp/2015/04/parallel-io-why-how-and-where-to-hdf5/</a> <a href="#fnref:10" class="footnote-back-ref">↩</a></p></li> <li id="fn:11"><p>Teng Wang; Kevin Vasko; Zhuo Liu; Hui Chen; Weikuan Yu (2016). "Enhance parallel input/output with cross-bundle aggregation". The International Journal of High Performance Computing Applications. 30 (2): 241–256. doi:10.1177/1094342015618017. S2CID 12067366. <a href="/wiki/Doi_(identifier)" target="_blank">/wiki/Doi_(identifier)</a> <a href="#fnref:11" class="footnote-back-ref">↩</a></p></li> <li id="fn:12"><p>Laghave, Nikhil; Sosonkina, Masha; Maris, Pieter; Vary, James P. (2009-05-25). "Benefits of Parallel I/O in Ab Initio Nuclear Physics Calculations". Computational Science – ICCS 2009. Lecture Notes in Computer Science. Vol. 5544. pp. 84–93. doi:10.1007/978-3-642-01970-8_9. ISBN 9783642019692. S2CID 28279330. <a href="9783642019692" target="_blank">9783642019692</a> <a href="#fnref:12" class="footnote-back-ref">↩</a></p></li> </ol>