Listar ICC_Articles por autoría "4c0ed33e-fd66-450a-aa55-30444e3c0619"

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    • closedAccess   A complete and efficient CUDA-sharing solution for HPC clusters 

      Peña Monferrer, Antonio J.; Reaño, Carlos; Silla, Federico; Mayo, Rafael; Quintana-Orti, Enrique S.; Duato, José Elsevier (2014)
      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 ...

    • openAccess   Improving the management efficiency of GPU workloads in data centers through GPU virtualization 

      Iserte, Sergio; Prades, Javier; Reaño, Carlos; Silla, Federico Wiley (2019)
      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 costs ...

    • closedAccess   Improving the user experience of the rCUDA remote GPU virtualization framework 

      Reaño, Carlos; Silla, Federico; Castelló, Adrián; Peña Monferrer, Antonio J.; Mayo, Rafael; Quintana-Orti, Enrique S. Wiley (2014-10)
      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) was ...

    • openAccess   On the benefits of the remote GPU virtualization mechanism: The rCUDA case 

      Silla, Federico; Iserte, Sergio; Reaño, Carlos; Prades, Javier Wiley (2017-07-10)
      Graphics processing units (GPUs) are being adopted in many computing facilities given their extraordinary computing power, which makes it possible to accelerate many general purpose applications from different domains. ...