Listar por autoría "161a88bb-7df5-4963-b336-22b0bf63d344"
Mostrando ítems 1-6 de 6
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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 ... -
DMR API: Improving cluster productivity by turning applications into malleable
Iserte, Sergio; Mayo, Rafael; Quintana-Orti, Enrique S.; Beltrán, Vicenç; Peña Monferrer, Antonio J. Elsevier (2018)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 with ... -
Dynamic Management of Resource Allocation for OmpSs Jobs
Iserte, Sergio; Peña Monferrer, Antonio J.; Mayo, Rafael; Quintana-Orti, Enrique S.; Beltran Querol, Vicenç Carretero Pérez, Jesús (2016-02)The main purpose of this thesis is to research in the relation between task-based programming models and resource management systems in order to provide a smart autonomous load-balancing and fault-tolerant system. Thus, ... -
Dynamic reconfiguration of noniterative scientific applications A case study with HPG aligner
Iserte, Sergio; Martínez Pérez, Héctor; Barrachina Mir, Sergio; Castillo Catalán, María Isabel; Mayo, Rafael; Peña Monferrer, Antonio J. Springer (2018-09)Several studies have proved the benefits of job malleability, that is, the capacity of an application to adapt its parallelism to a dynamically changing number of allocated processors. The most remarkable advantages of ... -
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 ... -
On the adequacy of lightweight thread approaches for high-level parallel programming models
Castelló, Adrián; Mayo, Rafael; Sala, Kevin; Beltran Querol, Vicenç; Balaji, Pavan; Peña Monferrer, Antonio J. Elsevier (2018-07)High-level parallel programming models (PMs) are becoming crucial in order to extract the computational power of current on-node multi-threaded parallelism. The most popular PMs, such as OpenMP or OmpSs, are directive-based: ...