Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Antonio Gómez-Iglesias"'
Publikováno v:
Parallel Computing. 76:28-41
In recent years, we have observed an increase in the diversity of the processors ecosystem. Different designs and architectures are being studied based on their performance and power characteristics. While using benchmarks for this purpose allows for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c8e50d77dfbc964b7a35c421d0039fb
https://doi.org/10.1016/j.parco.2018.04.008
https://doi.org/10.1016/j.parco.2018.04.008
Autor:
Norbert Meyer, José A. Moríñigo, Rafael Mayo-García, Pablo García-Muller, Antonio Gómez-Iglesias, Antonio J. Rubio-Montero
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030162047
CARLA
Docu-menta. Repositorio Institucional del CIEMAT
Consejo Superior de Investigaciones Científicas (CSIC)
Docu-menta: Repositorio Institucional del CIEMAT
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT)
CARLA
Docu-menta. Repositorio Institucional del CIEMAT
Consejo Superior de Investigaciones Científicas (CSIC)
Docu-menta: Repositorio Institucional del CIEMAT
Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT)
This investigation summarizes a set of executions completed on the supercomputers Stampede at TACC (USA), Helios at IFERC (Japan), and Eagle at PSNC (Poland), with the molecular dynamics solver LAMMPS, compiled for CPUs. A communication-intensive ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36f9fbd303e414ec76d5391f728932f4
https://doi.org/10.1007/978-3-030-16205-4_17
https://doi.org/10.1007/978-3-030-16205-4_17
Publikováno v:
Journal of the Operational Research Society. 67:664-675
This paper presents a mixed integer linear programming (MILP) model to aid in planning a large, hierarchically structured workforce. The workforce (eg, all Army commissioned officers) is classified by occupational group and rank and modelled in yearl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3eb9660c7303d62a344643106425faa
https://doi.org/10.1057/jors.2015.85
https://doi.org/10.1057/jors.2015.85
Autor:
Antonio Gómez-Iglesias, Carlos Rosales
Publikováno v:
PEARC
When a new technology is introduced into the HPC community, it is necessary to understand its performance and how it can affect the way applications interact with the hardware. Intel has recently introduced two new elements into the HPC ecosystem tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::72db82a0ba4017cab2e0467db7504260
https://doi.org/10.1145/3093338.3093349
https://doi.org/10.1145/3093338.3093349
Autor:
John Cazes, Antia Lamas-Linares, Carlos Rosales, Lei Huang, Hang Liu, Antonio Gómez-Iglesias, Feng Chen, Si Liu
Publikováno v:
IPDPS Workshops
It is commonly the case that a small number of widely used applications make up a large fraction of the workload of HPC centers. Predicting the performance of important applications running on specific processors enables HPC centers to design best pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f24f2d69914d9e6d3e9320dc08ee328a
https://doi.org/10.1109/ipdpsw.2017.45
https://doi.org/10.1109/ipdpsw.2017.45
Publikováno v:
IPDPS Workshops
This paper analyzes the performance of different implementations of a three-point angular correlation function. This function is used in the study of large scale distribution of galaxies in a variety of computational platforms. The function is based
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c88bf35bba29cc7f6b8fb7da06178acd
https://doi.org/10.1109/ipdpsw.2017.12
https://doi.org/10.1109/ipdpsw.2017.12
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319516905
ACALCI
ACALCI
Hybrid methods are highly effective means of solving combinatorial optimization problems and have become increasingly popular. In particular, integrations of exact and incomplete methods have proved to be effective where the hybrid takes advantage of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3df86117cc2f21ecf2062aba6707d49b
https://doi.org/10.1007/978-3-319-51691-2_23
https://doi.org/10.1007/978-3-319-51691-2_23
Publikováno v:
XSEDE
Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale
Proceedings of the XSEDE16 Conference on Diversity, Big Data, and Science at Scale
Optimization and design of nuclear fusion devices is a complex task with large computational requirements. The complexity is defined by the number of parameters involved in every single possible optimization function that focuses on the different asp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41feaa3b39ddb339dc913057173d5baa
https://doi.org/10.1145/2949550.2949646
https://doi.org/10.1145/2949550.2949646
Autor:
Miguel A. Vega-Rodríguez, Miguel Cárdenas-Montes, Juan José Rodríguez-Vázquez, Antonio Gómez-Iglesias, Ignacio Sevilla Noarbe
Publikováno v:
Algorithms and Architectures for Parallel Processing ISBN: 9783319495828
ICA3PP
ICA3PP
Cosmological studies, in particular those relating to the large scale distribution of galaxies, have to cope with an extraordinary increase in data volume with the current and upcoming sky surveys. These usually involve the estimation of N-point corr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c851df18043d0f5031b0b5d12a254537
https://doi.org/10.1007/978-3-319-49583-5_38
https://doi.org/10.1007/978-3-319-49583-5_38
Autor:
Ritu Arora, Antonio Gómez-Iglesias
Publikováno v:
Conquering Big Data with High Performance Computing ISBN: 9783319337401
The journey of Big Data begins at its collection stage, continues to analyses, culminates in valuable insights, and could finally end in dark archives. The management and analyses of Big Data through these various stages of its life cycle presents ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::02b0f23d0559fcdc017f34e16146793d
https://doi.org/10.1007/978-3-319-33742-5_2
https://doi.org/10.1007/978-3-319-33742-5_2