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Listar por autor "Reaño González, Carlos"

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Listar por autor "Reaño González, Carlos"

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    A Parallel Compression Pipeline for Improving GPU Virtualization Data Transfers 
    Peñaranda-Cebrián, Cristian; Reaño, Carlos; Silla, Federico (MDPI AG, 2024-07)
    [EN] GPUs are commonly used to accelerate the execution of applications in domains such as deep learning. Deep learning applications are applied to an increasing variety of scenarios, with edge computing being one of them. ...
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    A performance comparison of CUDA remote GPU virtualization frameworks 
    Reaño González, Carlos; Silla Jiménez, Federico (IEEE, 2015-09-08)
    Using GPUs reduces execution time of many applications but increases acquisition cost and power consumption. Furthermore, GPUs usually attain a relatively low utilization. In this context, remote GPU virtualization ...
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    Accelerating the detection of DNA differentially methylated regions using multiple GPUs 
    Reaño González, Carlos; Olanda, Ricardo; Baydal Cardona, María Elvira; Pérez, Mariano; Orduña, Juan M. (Springer-Verlag, 2024-06)
    [EN] DNA methylation analysis has become an important topic in the study of human health. In previous work, we developed a suite of tools to perform this analysis. It includes HPG-Dhunter, a web-based tool for automatic ...
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    Accelerator Virtualization in Fog Computing: Moving from the Cloud to the Edge 
    Varghese, Blesson; Reaño González, Carlos; Silla Jiménez, Federico (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    [EN] Hardware accelerators are available on the cloud for enhanced analytics. Next-generation clouds aim to bring enhanced analytics using accelerators closer to user devices at the edge of the network for improving quality ...
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    Analyzing the performance/power tradeoff of the rCUDA middleware for future exascale systems 
    Reaño González, Carlos; Prades, Javier; Silla Jiménez, Federico (Elsevier, 2019-10)
    [EN] The computing power of supercomputers and data centers has noticeably grown during the last decades at the cost of an ever increasing energy demand. The need for energy (and power) of these facilities has finally ...
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    Análisis del impacto de rCUDA en las prestaciones de mCUDA-MEME y HOOMD-Blue 
    Baiget Orts, Carlos Jose (Universitat Politècnica de València, 2013-10-04)
    La presencia de Unidades de Proceso Gráfico (Graphics Processing Units, GPUs) en las instalaciones de Computación de Alto Rendimiento (High Performance Computing, HPC) es una opción cada vez más extendida por la mejora del ...
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    Automatización de la validación y exactitud de un entorno de virtualización remota de GPUs 
    Bautista Perales, Ismael (Universitat Politècnica de València, 2016-10-17)
    [ES] En este TFM se va a diseñar e implementar un programa de software que permita realizar de una forma automática tests de validación de software. El objetivo principal es realizar tests masivos del entorno de ...
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    Boosting the performance of remote GPU virtualization using InfiniBand Connect-IB and PCIe 3.0 
    Reaño González, Carlos; Silla Jiménez, Federico; Peña Monferrer, Antonio José; Shainer, Gilad; Schultz, Scot; Castello Gimeno, Adrián; Quintana Ortí, Enrique Salvador; Duato Marín, José Francisco (IEEE, 2014-09-22)
    [EN] A clear trend has emerged involving the acceleration of scientific applications by using GPUs. However, the capabilities of these devices are still generally underutilized. Remote GPU virtualization techniques can ...
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    CU2rCU: A CUDA-to-rCUDA Converter 
    Reaño González, Carlos (Universitat Politècnica de València, 2013-03-03)
    [ES] Las GPUs (Graphics Processor Units, unidades de procesamiento gráfico) están siendo cada vez más utilizadas en el campo de la HPC (High Performance Computing, computación de altas prestaciones) como una forma eficaz ...
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    CU2rCU: towards the Complete rCUDA Remote GPU Virtualization and Sharing Solution 
    Reaño González, Carlos; Peña Monferrer, Antonio José; Silla Jiménez, Federico; Duato Marín, José Francisco; Mayo Gual, Rafael; Quintana Ortí, Enrique Salvador (IEEE, 2012)
    GPUs are being increasingly embraced by the high performance computing and computational communities as an effective way of considerably reducing execution time by accelerating significant parts of their application codes. ...
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    Diseño e implementación de una herramienta de testeo automático para el middleware rCUDA 
    Díaz Román, Antonio (Universitat Politècnica de València, 2018-09-18)
    [ES] La verificación es una etapa crítica en cualquier proyecto de desarrollo de software. El principal objetivo de la verificación es que el software que está siendo desarrollado se comporte conforme a su especificación ...
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    Evaluación del uso de GPUs virtualizadas en sistemas de bajo consumo 
    Palop Campos, Javier (Universitat Politècnica de València, 2018-10-11)
    [ES] El trabajo que a continuación se presenta, estudia el rendimiento y las prestaciones de ejecutar ciertas aplicaciones en distintos equipos, entre ellos uno de bajo consumo, utilizando su hardware local, así como su ...
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    Exploring the use of data compression for accelerating machine learning in the edge with remote virtual graphics processing units 
    Peñaranda-Cebrián, Cristian; Reaño, Carlos; Silla, Federico (John Wiley & Sons, 2022-10-17)
    [EN] Internet of Things (IoT) devices are usually low performance nodes connected by low bandwidth networks. To improve performance in such scenarios, some computations could be done at the edge of the network. However, ...
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    Hybrid-Smash: a heterogeneous CPU-GPU compression library 
    Peñaranda-Cebrián, Cristian; Reaño, Carlos; Silla, Federico (Institute of Electrical and Electronics Engineers, 2024)
    [EN] Compression algorithms are widely used to reduce data size and improve application performance. Nevertheless, data compression has a computational cost which can limit its use. GPUs could be leveraged to reduce ...
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    Improving the management efficiency of GPU workloads in data centers through GPU virtualization 
    Iserte, Sergio; Prades, Javier; Reaño González, Carlos; Silla, Federico (John Wiley & Sons, 2021-01-25)
    [EN] Graphics processing units (GPUs) are currently used in data centers to reduce the execution time of compute-intensive applications. However, the use of GPUs presents several side effects, such as increased acquisition ...
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    Improving the performance of physics applications in atom-based clusters with rCUDA 
    Silla, Federico; Prades, Javier; Baydal Cardona, María Elvira; Reaño, Carlos (Elsevier, 2020-03)
    [EN] Traditionally, High-Performance Computing (HPC) has been associated with large power requirements. The reason was that chip makers of the processors typically employed in HPC deployments have always focused on getting ...
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    Improving the User Experience of the rCUDA Remote GPU Virtualization Framework 
    Reaño González, Carlos; Silla Jiménez, Federico; Castello Gimeno, Adrián; Peña Monferrer, Antonio José; Mayo Gual, Rafael; Quintana Ortí, Enrique Salvador; Duato Marín, José Francisco (Wiley, 2015-09-25)
    Graphics processing units (GPUs) are being increasingly embraced by the high-performance computing community as an effective way to reduce execution time by accelerating parts of their applications. remote CUDA (rCUDA) ...
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    InfiniBand verbs optimizations for remote GPU virtualization 
    Reaño González, Carlos; Silla Jiménez, Federico (IEEE, 2015-09-08)
    The use of InfiniBand networks to interconnect high performance computing clusters has considerably increased during the last years. So much so that the majority of the supercomputers included in the TOP500 list either ...
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    Influence of InfiniBand FDR on the performance of remote GPU virtualization 
    Reaño González, Carlos; Mayo Gual, Rafael; Quintana Ortí, Enrique Salvador; Silla Jiménez, Federico; Duato Marín, José Francisco; Peña Monferrer, Antonio José (IEEE, 2013-09-23)
    The use of GPUs to accelerate general-purpose scientific and engineering applications is mainstream today, but their adoption in current high-performance computing clusters is impaired primarily by acquisition costs and ...
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    Intra-node Memory Safe GPU Co-Scheduling 
    Reaño González, Carlos; Silla Jiménez, Federico; Nikolopoulos, Dimitrios S.; Varghese, Blesson (Institute of Electrical and Electronics Engineers, 2018)
    [EN] GPUs in High-Performance Computing systems remain under-utilised due to the unavailability of schedulers that can safely schedule multiple applications to share the same GPU. The research reported in this paper is ...