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Listar por autor "Mayo Gual, Rafael"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por autor "Mayo Gual, Rafael"

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    Analysis of threading libraries for high performance computing 
    Castelló, Adrián; Mayo Gual, Rafael; Seo, Sangmin; Balaji, Pavan; Quintana Ortí, Enrique Salvador; Peña, Antonio J. (Institute of Electrical and Electronics Engineers, 2020-09-01)
    [EN] With the appearance of multi-/many core machines, applications and runtime systems have evolved in order to exploit the new on-node concurrency brought by new software paradigms. POSIX threads (Pthreads) was widely-adopted ...
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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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    DMR API: Improving cluster productivity by turning applications into malleable 
    Iserte Agut, Sergio; Mayo Gual, Rafael; Quintana Ortí, Enrique Salvador; Beltrán, Vicenç; Peña Monferrer, Antonio José (Elsevier, 2018)
    [EN] Adaptive workloads can change on-the-fly the configuration of their jobs, in terms of number of processes. To carry out these job reconfigurations, we have designed a methodology which enables a job to communicate ...
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    DMRlib: Easy-coding and efficient resource management for job malleability 
    Iserte, Sergio; Mayo, Rafael; Quintana-Ortí, Enrique S.; Peña Monferrer, Antonio José (Institute of Electrical and Electronics Engineers, 2021-09-01)
    [EN] Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. However, the ...
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    Exploring the interoperability of remote GPGPU virtualization using rCUDA and directive-based programming models 
    Castelló-Gimeno, Adrián; Peña Monferrer, Antonio José; Mayo Gual, Rafael; Planas,Judit; Quintana Ortí, Enrique Salvador; Balaji, Pavan (Springer-Verlag, 2018-11)
    [EN] Directive-based programming models, such as OpenMP, OpenACC, and OmpSs, enable users to accelerate applications by using coprocessors with little effort. These devices offer significant computing power, but their use ...
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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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    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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    Noise estimation for hyperspectral subspace identification on FPGAs 
    León, Germán; González, Carlos; Mayo Gual, Rafael; Mozos, Daniel; Quintana-Ortí, Enrique S. (Springer-Verlag, 2019-03)
    [EN] We present a reliable and efficient FPGA implementation of a procedure for the computation of the noise estimation matrix, a key stage for subspace identification of hyperspectral images. Our hardware realization is ...
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    SLURM Support for Remote GPU Virtualization: Implementation and Performance Study 
    Iserte Agut, Sergio; Castello Gimeno, Adrián; Mayo Gual, Rafael; Quintana Ortí, Enrique Salvador; Silla Jiménez, Federico; Duato Marín, José Francisco; Reaño González, Carlos; Prades Gasulla, Javier (IEEE, 2014-10-22)
    SLURM is a resource manager that can be leveraged to share a collection of heterogeneous resources among the jobs in execution in a cluster. However, SLURM is not designed to handle resources such as graphics processing ...