Titlebook: High Performance Computing; Second Latin America Carla Osthoff,Philippe Olivier Alexandre Navaux,Pe Conference proceedings 2015 Springer In

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High Performance Computing978-3-319-26928-3Series ISSN 1865-0929 Series E-ISSN 1865-0937

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Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social Networkss several times consumes much time. Thus, the automatic execution of each setting of parameters throughout parallelization techniques becomes essential. In this paper, we propose an approach named LPFlow4SN that models a MRDM process as a scientific workflow and then executes it in parallel in the

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Asynchronous in Situ Processing with Gromacs: Taking Advantage of GPUsage of the machine by the simulation and the in situ analytics. We finally extend the usual in situ placement strategies to the case of in situ analytics running on a GPU and study their impact on both Gromacs performance and the resource usage of the machine. We show in particular that running in s

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Porting a Numerical Atmospheric Model to a Cloud Serviceas needed are attractive for applications that execute traditionally in clusters or supercomputers. This paper presents our experiences of porting and executing a weather prediction application to the an IaaS cloud. We compared the execution of this application in our local cluster against the execu

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Determining the Real Capacity of a Desktop Cloudresearchers to harvest the capacity available by deploying opportunistic infrastructures, that is, infrastructures mostly supported by idle computing resources which run in parallel to tasks performed by the resource owner (end-user). In this paper we measure such usage in terms of CPU and RAM. The