Agenda

The Network RICE (Red de Información Cuántica de España) organizes a meeting on the occasion of the creation of the Quantum Computing Group at the Barcelona Supercomputing Center (BSC). The meeting will consist of informal talks and scientific discussions among those of us who are interested in quantum computing and quantum annealing, as well as closely connected areas --error correction, quantum control, etc

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The RES Users’ Conference is an annual event addressed to all the current and potential users of the HPC resources of the Spanish Supercomputing Network.

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Big Data systems are computer systems that are based on similar design plans to all the others. We can therefore talk about the management of data in Big Data systems (Big Data Management) and using these data to extract knowledge relevant to the organization with Data Mining and Machine Learning algorithms (Big Data Analytics). Unlike traditional systems, however, there is not so much justification to separate the data exploitation management part, as there is no universal solution for storing data and exploiting them in a Big Data environment. Instead, the architectural solution depends on the specific case of use (exploitation) being considered. This Postgraduate programme provides an overview of Big Data ecosystem and considers both aspects in depth: management (Big Data Management) and exploitation of data (Big Data Analytics), while providing applicability and a business vision within this system.

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BSC will be participating in the SC17 exhibition with the booth number 1975.

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During the last years, the computing ecosystem is becoming more and more heterogeneous. On the one hand, trends in computer architectures focus on providing different computing devices (CPUs, GPUs and FPGAs) and memories in a single chip or computing node, with the aim of providing better computing devices for the different types of algorithms and applications. On the other hand, distributed platforms such as Clusters, Grids and Clouds, which have been traditionally composed by many homogeneous nodes, are starting to be composed of heterogeneous nodes including processors with different cores, accelerators and memory capacities. This heterogeneity is required to achieve better computing performance with lower energy consumption and must be managed at different levels.

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