Home > Search Results: Serradell, Kim
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Articles, 2 records found
Articles 2 records found  
1.
10 p, 2.5 MB Finding, analysing and solving MPI communication bottlenecks in Earth System models / Tintó Prims, Oriol (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ; Castrillo, Miguel (Barcelona Supercomputing Center) ; Acosta, Mario C. (Mario César) (Barcelona Supercomputing Center) ; Mula-Valls, Oriol (Barcelona Supercomputing Center) ; Sanchez Lorente, Alicia (Barcelona Supercomputing Center) ; Serradell, Kim (Barcelona Supercomputing Center) ; Cortés Fité, Ana (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ; Doblas-Reyes, Francisco J. (Institució Catalana de Recerca i Estudis Avançats)
It is a matter of consensus that the ability to efficiently use current and future high performance computing systems is crucial for science, however, the reality is that the performance currently achieved by most of the parallel scientific applications is far from desired. [...]
2019 - 10.1016/j.jocs.2018.04.015
Journal of computational science, Vol. 36 (September 2019) , art. 100864  
Detailed record - Creative Commons
2.
14 p, 1.1 MB How to use mixed precision in ocean models : Exploring a potential reduction of numerical precision in NEMO 4.0 and ROMS 3.6 / Tintó Prims, Oriol (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ; Acosta, Mario C. (Mario César) (Barcelona Supercomputing Center) ; Moore, Andrew M. (University of California. Ocean Sciences Department (USA)) ; Castrillo, Miguel (Barcelona Supercomputing Center) ; Serradell, Kim (Barcelona Supercomputing Center) ; Cortés Fité, Ana (Universitat Autònoma de Barcelona. Departament d'Arquitectura de Computadors i Sistemes Operatius) ; Doblas-Reyes, Francisco J. (Barcelona Supercomputing Center)
Mixed-precision approaches can provide substantial speed-ups for both computing- and memory-bound codes with little effort. Most scientific codes have overengineered the numerical precision, leading to a situation in which models are using more resources than required without knowing where they are required and where they are not. [...]
2019 - 10.5194/gmd-12-3135-2019
Geoscientific Model Development, Vol. 12, Issue 7 (July 2019) , p. 3135-3148  
Detailed record - Creative Commons

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