Topic 14+16: High-performance and scientific applications and extreme-scale computing (Introduction)

Handle URI:
http://hdl.handle.net/10754/564660
Title:
Topic 14+16: High-performance and scientific applications and extreme-scale computing (Introduction)
Authors:
Downes, Turlough P.; Roller, Sabine P.; Seitsonen, Ari Paavo; Valcke, Sophie; Keyes, David E. ( 0000-0002-4052-7224 ) ; Sawley, Marie Christine; Schulthess, Thomas C.; Shalf, John M.
Abstract:
As 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.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Applied Mathematics and Computational Science Program; Extreme Computing Research Center
Publisher:
Springer Science + Business Media
Journal:
Lecture Notes in Computer Science
Conference/Event name:
19th International Conference on Parallel Processing, Euro-Par 2013
Issue Date:
2013
DOI:
10.1007/978-3-642-40047-6_73
Type:
Conference Paper
ISSN:
03029743
ISBN:
9783642400469
Appears in Collections:
Conference Papers; Applied Mathematics and Computational Science Program; Extreme Computing Research Center; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorDownes, Turlough P.en
dc.contributor.authorRoller, Sabine P.en
dc.contributor.authorSeitsonen, Ari Paavoen
dc.contributor.authorValcke, Sophieen
dc.contributor.authorKeyes, David E.en
dc.contributor.authorSawley, Marie Christineen
dc.contributor.authorSchulthess, Thomas C.en
dc.contributor.authorShalf, John M.en
dc.date.accessioned2015-08-04T07:11:18Zen
dc.date.available2015-08-04T07:11:18Zen
dc.date.issued2013en
dc.identifier.isbn9783642400469en
dc.identifier.issn03029743en
dc.identifier.doi10.1007/978-3-642-40047-6_73en
dc.identifier.urihttp://hdl.handle.net/10754/564660en
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.en
dc.publisherSpringer Science + Business Mediaen
dc.titleTopic 14+16: High-performance and scientific applications and extreme-scale computing (Introduction)en
dc.typeConference Paperen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentApplied Mathematics and Computational Science Programen
dc.contributor.departmentExtreme Computing Research Centeren
dc.identifier.journalLecture Notes in Computer Scienceen
dc.conference.date26 August 2013 through 30 August 2013en
dc.conference.name19th International Conference on Parallel Processing, Euro-Par 2013en
dc.conference.locationAachenen
dc.contributor.institutionDublin City University, Irelanden
dc.contributor.institutionUniversity of Siegen, Germanyen
dc.contributor.institutionUniversity of Zurich, Switzerlanden
dc.contributor.institutionCERFACS, Franceen
dc.contributor.institutionIntel Exascale Lab. Paris, Franceen
dc.contributor.institutionETH Zurich, Switzerlanden
dc.contributor.institutionLawrence Berkeley National Laboratory, United Statesen
kaust.authorKeyes, David E.en
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