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dc.contributor.authorDownes, Turlough P.
dc.contributor.authorRoller, Sabine P.
dc.contributor.authorSeitsonen, Ari Paavo
dc.contributor.authorValcke, Sophie
dc.contributor.authorKeyes, David E.
dc.contributor.authorSawley, Marie Christine
dc.contributor.authorSchulthess, Thomas C.
dc.contributor.authorShalf, John M.
dc.date.accessioned2015-08-04T07:11:18Z
dc.date.available2015-08-04T07:11:18Z
dc.date.issued2013
dc.identifier.isbn9783642400469
dc.identifier.issn03029743
dc.identifier.doi10.1007/978-3-642-40047-6_73
dc.identifier.urihttp://hdl.handle.net/10754/564660
dc.description.abstractAs our understanding of the world around us increases it becomes more challenging to make use of what we already know, and to increase our understanding still further. Computational modeling and simulation have become critical tools in addressing this challenge. The requirements of high-resolution, accurate modeling have outstripped the ability of desktop computers and even small clusters to provide the necessary compute power. Many applications in the scientific and engineering domains now need very large amounts of compute time, while other applications, particularly in the life sciences, frequently have large data I/O requirements. There is thus a growing need for a range of high performance applications which can utilize parallel compute systems effectively, which have efficient data handling strategies and which have the capacity to utilise current and future systems. The High Performance and Scientific Applications topic aims to highlight recent progress in the use of advanced computing and algorithms to address the varied, complex and increasing challenges of modern research throughout both the "hard" and "soft" sciences. This necessitates being able to use large numbers of compute nodes, many of which are equipped with accelerators, and to deal with difficult I/O requirements. © 2013 Springer-Verlag.
dc.publisherSpringer Science + Business Media
dc.titleTopic 14+16: High-performance and scientific applications and extreme-scale computing (Introduction)
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentExtreme Computing Research Center
dc.identifier.journalLecture Notes in Computer Science
dc.conference.date26 August 2013 through 30 August 2013
dc.conference.name19th International Conference on Parallel Processing, Euro-Par 2013
dc.conference.locationAachen
dc.contributor.institutionDublin City University, Ireland
dc.contributor.institutionUniversity of Siegen, Germany
dc.contributor.institutionUniversity of Zurich, Switzerland
dc.contributor.institutionCERFACS, France
dc.contributor.institutionIntel Exascale Lab. Paris, France
dc.contributor.institutionETH Zurich, Switzerland
dc.contributor.institutionLawrence Berkeley National Laboratory, United States
kaust.personKeyes, David E.


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