The availability of computing resources and the need for high quality sercices are rapidly evolving the vision about the acceleration of knowledge development, improvement and dissemination. The Interneto of Things is growing up. The high performance cloud computing is behind the scene powering the next big thing. In this paper, using the GVirtuS, general purpose virtualization service, we demonstrate the feasibility of accelerate inexpensive ARM based computing nodes with high-end GPUs hosted on x86_64 machines. We draw the vision of a possible next generation of low-cost, off the shelf, computing clusters we call Neowulf characterized by high Heterogenic parallelism and expected as low electric power demanding and heat producing.

The High Performance Internet of Things: using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes / Laccetti, Giuliano; R., Montela; C., Palmieri; V., Pelliccia. - 8384:(2014), pp. 734-746.

The High Performance Internet of Things: using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes

LACCETTI, GIULIANO;
2014

Abstract

The availability of computing resources and the need for high quality sercices are rapidly evolving the vision about the acceleration of knowledge development, improvement and dissemination. The Interneto of Things is growing up. The high performance cloud computing is behind the scene powering the next big thing. In this paper, using the GVirtuS, general purpose virtualization service, we demonstrate the feasibility of accelerate inexpensive ARM based computing nodes with high-end GPUs hosted on x86_64 machines. We draw the vision of a possible next generation of low-cost, off the shelf, computing clusters we call Neowulf characterized by high Heterogenic parallelism and expected as low electric power demanding and heat producing.
2014
9783642552236
The High Performance Internet of Things: using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes / Laccetti, Giuliano; R., Montela; C., Palmieri; V., Pelliccia. - 8384:(2014), pp. 734-746.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11588/585428
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