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dc.date.accessioned 2020-09-17T13:05:02Z
dc.date.available 2020-09-17T13:05:02Z
dc.date.issued 2020
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/104835
dc.description.abstract Numerical simulations used today by scientists in various disciplines, are frequently based on implementations created when the predominant compu­ting hardware was sequential by design. In this simulations, new features are added or updated, when new discoveries are made, but the computational implementation remains unchanged, not taking advantage of modern hardware architectures. This “legacy code” study cases, presents the opportunity to create a set of techniques and tools, oriented to perform optimizations from a computa­tional and software engineering points of view. As an example, in conjunction with an astrophysics research group, a real-world case numerical integrator optimization is presented, were these techniques were applied, showing the results obtained. en
dc.format.extent 18-21 es
dc.language en es
dc.subject High Performance Computing es
dc.subject Optimization es
dc.subject Numerical integrators es
dc.subject Legacy Numerical Software es
dc.title Performance Analysis and Optimizations Techniques for Legacy Code Numerical Simulations en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-1927-4 es
sedici.creator.person Díaz, Federico José es
sedici.creator.person Tinetti, Femando G. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigación en Informática es
mods.originInfo.place Instituto de Investigación en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2020-09
sedici.relation.event VIII Conference on Cloud Computing, Big Data & Emerging Topics (Modalidad virtual, 8 al 10 de septiembre de 2020) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/103585 es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/103585 es
sedici.relation.bookTitle Short Papers of the 8th Conference on Cloud Computing Conference, Big Data & Emerging Topics (JCC-BD&ET 2020) es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)