Zobrazeno 1 - 10
of 363
pro vyhledávání: '"Enrique S Quintana-Ortí"'
Autor:
Marisol Monterrubio-Velasco, Scott Callaghan, David Modesto, Jose Carlos Carrasco, Rosa M. Badia, Pablo Pallares, Fernando Vázquez-Novoa, Enrique S. Quintana-Ortí, Marta Pienkowska, Josep de la Puente
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-11 (2024)
Abstract After large-magnitude earthquakes, a crucial task for impact assessment is to rapidly and accurately estimate the ground shaking in the affected region. To satisfy real-time constraints, intensity measures are traditionally evaluated with em
Externí odkaz:
https://doaj.org/article/03ef35d8e2924ca38bf5ee615cc75552
Autor:
Antoine Grenier, Jie Lei, Hans Jakob Damsgaard, Enrique S. Quintana-Ortí, Aleksandr Ometov, Elena Simona Lohan, Jari Nurmi
Publikováno v:
Sensors, Vol 24, Iss 2, p 409 (2024)
A Global Navigation Satellite System (GNSS) is widely used today for both positioning and timing purposes. Many distinct receiver chips are available as Application-Specific Integrated Circuit (ASIC)s off-the-shelf, each tailored to the requirements
Externí odkaz:
https://doaj.org/article/c2fa8dbfda5240acbbf3d4eb9dc8236b
Autor:
Manuel F. Dolz, Héctor Martínez, Adrián Castelló, Pedro Alonso-Jordá, Enrique S. Quintana-Ortí
Publikováno v:
The Journal of Supercomputing. 79:10589-10610
We take a step forward towards developing high-performance codes for the convolution operator, based on the Winograd algorithm, that are easy to customise for general-purpose processor architectures. In our approach, augmenting the portability of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3c8452f1c29d1bc08e5274adf377990
https://doi.org/10.1007/s11227-023-05088-4
https://doi.org/10.1007/s11227-023-05088-4
Publikováno v:
Parallel Processing and Applied Mathematics ISBN: 9783031304446
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50ec5a860b915ec063ad2c27e7a760e9
https://doi.org/10.1007/978-3-031-30445-3_20
https://doi.org/10.1007/978-3-031-30445-3_20
Publikováno v:
Software: Practice and Experience. 53:81-98
The roofline model not only provides a powerful tool to relate an application's performance with the specific constraints imposed by the target hardware but also offers a graphic representation of the balance between memory access cost and compute th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9bf74e9cc1349a546fff5b9b0ac3a9a
https://doi.org/10.1002/spe.3041
https://doi.org/10.1002/spe.3041
Autor:
Guillermo Alaejos, Adrián Castelló, Héctor Martínez, Pedro Alonso-Jordá, Francisco D. Igual, Enrique S. Quintana-Ortí
We provide a practical demonstration that it is possible to systematically generate a variety of high-performance micro-kernels for the general matrix multiplication (gemm) via generic templates which can be easily customized to different processor a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::06da09c3d84908094bd4492ab66bc898
https://doi.org/10.21203/rs.3.rs-1909301/v1
https://doi.org/10.21203/rs.3.rs-1909301/v1
Autor:
Sergio Iserte, Aina Macías, Raúl Martínez-Cuenca, Sergio Chiva, Roberto Paredes, Enrique S. Quintana-Ortí
Publikováno v:
Repositori Universitat Jaume I
Universitat Jaume I
Universitat Jaume I
This paper presents a hybrid methodology for accelerating Computational Fluid Dynamics (CFD) simulations intertwining inferences from deep neural networks (DNN). The strategy leverages the local spatial data of the velocity field to leverage three-di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb9f2b06c562438a5c30795b77c68558
Autor:
Pedro Alonso-Jordá, Enrique S. Quintana-Ortí, Pablo San Juan, Rafael Rodríguez-Sánchez, Francisco D. Igual
Publikováno v:
The Journal of Supercomputing. 77:11257-11269
[EN] We introduce a high performance, multi-threaded realization of the gemm kernel for the ARMv8.2 architecture that operates with 16-bit (half precision)/queryKindly check and confirm whether the corresponding author is correctly identified. floati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f55d38d3633ac922bbb007f0a4c6c115
https://doi.org/10.1007/s11227-021-03636-4
https://doi.org/10.1007/s11227-021-03636-4
Autor:
Rafael Rodríguez-Sánchez, Adrián Castelló, Sandra Catalán, Francisco D. Igual, Enrique S. Quintana-Ortí
Publikováno v:
The International Journal of High Performance Computing Applications. :109434202311576
Malleability is defined as the ability to vary the degree of parallelism at runtime, and is regarded as a means to improve core occupation on state-of-the-art multicore processors tshat contain tens of computational cores per socket. This property is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c45ef79f9f4c22726b94295d4154b354
https://doi.org/10.1177/10943420231157653
https://doi.org/10.1177/10943420231157653
Publikováno v:
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
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instname
[EN] More than 10 years of research related to the development of efficient GPU routines for the sparse matrix-vector product (SpMV) have led to several realizations, each with its own strengths and weaknesses. In this work, we review some of the mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab865ed54dd38cc2682591ba05b7b86
https://doi.org/10.1177/1094342021990738
https://doi.org/10.1177/1094342021990738