Buscar en RiuNet

Listar

Todo RiuNet

Mi cuenta

Acceder

Ayuda RiuNet

Admin. UPV

Listar por palabra clave "High performance computing"

Mostrando ítems 1-19 de 19

A complete and efficient CUDA-sharing solution for HPC clusters

Peña Monferrer, Antonio José; Reaño González, Carlos; Silla Jiménez, Federico; Mayo Gual, Rafael; Quintana-Orti, Enrique S.; Duato Marín, José Francisco (Elsevier, 2014-12)

In this paper we detail the key features, architectural design, and implementation of rCUDA, an advanced framework to enable remote and transparent GPGPU acceleration in HPC clusters. rCUDA allows decoupling GPUs from ...
A framework for genomic sequencing on clusters of multicore and manycore processors

Martínez, Héctor; Barrachina, Sergio; Castillo, Maribel; Tárraga, Joaquín; Medina, Ignacio; Dopazo, Joaquín; Quintana Ortí, Enrique Salvador (SAGE Publications, 2018-05)

[EN] The advances in genomic sequencing during the past few years have motivated the development of fast and reliable software for DNA/RNA sequencing on current high performance architectures. Most of these efforts target ...
Accelerating urban scale simulations leveraging local spatial 3D structure

Iserte, Sergio; Macías, Aina; Martínez-Cuenca, Raúl; Chiva, Sergio; Paredes Palacios, Roberto; Quintana-Ortí, Enrique S. (Elsevier, 2022-07)

[EN] 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 ...
Aplicación de la computación de altas prestaciones y computación distribuida en cálculos de Física Médica y radioterapia basados en Monte-Carlo

Giménez Alventosa, Vicent (Universitat Politècnica de València, 2017-10-26)

[ES] Actualmente el cáncer es responsable del 25% de todas las muertes de la UE y es la causa de mortalidad más importante de las personas entre 45 y 64 años. Por lo tanto, la mejora en los tratamientos tendrán un gran ...
Avances en Iber para la clasificación de balsas: proyecto ACROPOLIS

Sanz-Ramos, Marcos; Bladé, Ernest; Silva-Cancino, Nathalia; Salazar, Fernando (Universitat Politècnica de València, 2024-01-31)

[EN] In Spain there are around 70.000 reservoirs. According to current legislation, users and administrations are obligated to classify them based on the potential risk in the event of a rupture, if they have more than ...
Desarrollo, optimización y despliegue de un servidor eficiente para la inferencia de redes neuronales de apoyo al radiodiagnóstico.

Dorronsoro Larbide, Ibai (Universitat Politècnica de València, 2023-01-09)

[ES] En este documento se presenta el Trabajo de Final de Máster del Máster Universitario en Computación en la Nube y de Altas Prestaciones de la Universidad Politécnica de Valencia, consistente en el desarrollo, optimización ...
Efficient update of determinants of rmany-electron wave function overlaps

Alonso-Jordá, Pedro; Davidovic, Davor; Sapunar, Marin; Herrero, Jose R.; Quintana-Ortí, Enrique S. (Elsevier, 2021-01)

[EN] The calculation of overlaps between many-electron wave functions at different nuclear geometries during nonadiabatic dynamics simulations requires the evaluation of a large number of determinants of matrices that ...
Exploring manycore architectures for next-generation HPC systems through the MANGO approach

Flich Cardo, José; Agosta, Giovanni; Ampletzer, Philipp; Atienza-Alonso, David; Brandolese, Carlo; Cappe, Etienne; Cilardo, Alessandro; Dragic, Leon; Dray, Alexandre; Duspara, Alen; Fornaciari, William; Fusella, Edoardo; Gagliardi, Mirko; Martínez Martínez, José María; Picornell-Sanjuan, Tomás; Tornero-Gavilá, Rafael (Elsevier, 2018)

[EN] The Horizon 2020 MANGO project aims at exploring deeply heterogeneous accelerators for use in High-Performance Computing systems running multiple applications with different Quality of Service (QoS) levels. The main ...
Fine-grained bit-flip protection for relaxation methods

Anzt, Hartwig; Dongarra, Jack; Quintana Ortí, Enrique Salvador (Elsevier, 2019-09)

[EN] Resilience is considered a challenging under-addressed issue that the high performance computing community (HPC) will have to face in order to produce reliable Exascale systems by the beginning of the next decade. As ...
Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing

Anzt, Hartwig; Cojean, Terry; Flegar, Goran; Göbel, Fritz; Grützmacher, Thomas; Nayak, Pratik; Ribizel, Tobias; Tsai, Yuhsiang Mike; Quintana-Ortí, Enrique S. (Association for Computing Machinery, 2022-03)

[EN] In this article, we present GINKGO, a modern C++ math library for scientific high performance computing. While classical linear algebra libraries act on matrix and vector objects, Gnswo's design principle abstracts ...
Multi-threaded dense linear algebra libraries for low-power asymmetric multicore processors

Catalán, Sandra; Herrero, José R.; Igual Peña, Francisco Daniel; Rodríguez-Sánchez, Rafael; Quintana Ortí, Enrique Salvador; Adeniyi-Jones, Chris (Elsevier, 2018-03)

[EN] Dense linear algebra libraries, such as BLAS and LAPACK, provide a relevant collection of numerical tools for many scientific and engineering applications. While there exist high performance implementations of the ...
Open Source Framework for Enabling HPC and Cloud Geoprocessing Services

Montañana, José Miguel; Marangio, Paolo; Hervás, Antonio (Czech University of Life Sciences Prague, 2020-12)

[EN] Geoprocessing is a set of tools that can be used to efficiently address several pressing chal-lenges for the global economy ranging from agricultural productivity, the design of transport networks, to the prediction ...
Optimización de la Clusterización de Tensores para Analizar Transiciones entre Microestados de Electroencefalografía

Ors Quixal, Rafael Teodoro (Universitat Politècnica de València, 2024-10-13)

[ES] El análisis por microestados de la señal electroencefalográfica es una técnica muy utilizada en la actualidad, tanto en la clínica como en investigación, interfaces persona-computador, neuromarketing y entretenimiento. ...
Parallel Computing in Water Network Analysis and Leakage Minimization

Alonso Ábalos, José Miguel; Alvarruiz Bermejo, Fernando; Guerrero López, David; Hernández García, Vicente; Ruiz Martínez, Pedro Antonio; Vidal Maciá, Antonio Manuel; Martínez Alzamora, Fernando; Vercher, Juan; Ulanick, Bogumil (American Society of Civil Engineers, 2000)

[EN] In this paper a parallel computing based software demonstrator for the simulation and leakage minimization of water networks is presented. This demonstrator, based on the EPANET package, tackles three different types ...
Parallelization of an algorithm for automatic classification of medical data

García Mollá, Víctor Manuel; Salazar Afanador, Addisson; Safont Armero, Gonzalo; Vidal, Antonio M.; Vergara Domínguez, Luís (Springer, 2019-06-14)

In this paper, we present the optimization and parallelization of a state-of-the-art algorithm for automatic classification, in order to perform real-time classification of clinical data. The parallelization has been carried ...
Planificación de tareas considerando la contención en la jerarquía de memoria de procesadores multinúcleo

Feliu Pérez, Josué (Universitat Politècnica de València, 2013-02-25)

[ES] Con el objetivo de mejorar el rendimiento de los CMPs, parte de la investigación reciente se ha centrado en la planificación de procesos para limitar la contención provocada por el limitado ancho de banda. Hoy en dia, ...
Preface to high performance computing applied to computational problems in science and engineering

Cortina, Raquel; Martínez Zaldívar, Francisco José; Vidal Maciá, Antonio Manuel; Vigo-Aguiar, Jesús (2012-08-16)

As a part of the 11th International Conference on "Computational and Mathematical Methods in Science and Engineering" (CMMSE 2011), the Minisymposium "High Performance Computing (HPC) applied to Computational Problems ...
Programming parallel dense matrix factorizations with look-ahead and OpenMP

Catalán, Sandra; Castelló, Adrián; Igual, Francisco D.; Rodríguez-Sánchez, Rafael; Quintana Ortí, Enrique Salvador (Springer-Verlag, 2020-03)

[EN] We investigate a parallelization strategy for dense matrix factorization (DMF) algorithms, using OpenMP, that departs from the legacy (or conventional) solution, which simply extracts concurrency from a multi-threaded ...
Study of the Thermal Field of Turbulent Channel Flows Via Direct Numerical Simulations

Alcántara Ávila, Francisco (Universitat Politècnica de València, 2022-01-24)

[ES] El principal objetivo de esta tesis es el estudio de flujos térmicos turbulentos en canales para obtener un mayor conocimiento sobre el fenómeno de la turbulencia. Para ello, se ha realizado un estudio desde el punto ...