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2011: Workshop on Large-Scale Data Analysis - February 18

Many researchers are faced with massive volumes of data through experiments, observations and simulations in many applications such as material sciences, medicine, genomics, high-energy physics, climate research and astrophysics. Data analysis applications may differ significantly from the current HPC workloads in that the data structures are often irregular (based on strings, trees, graphs, and networks) without the high degree of spatial and temporal locality seen in physics-based simulations using regular matrices.

The Swiss National Supercomputing Centre (CSCS) will start in the next months a new project called "EUREKA" aimed to offer dedicated to large-scale data analysis services. The proposed analysis facility will be used for large-scale analysis of unstructured data and data mining. It is purpose-built for parallel applications that are dynamically changing, require random access to shared memory and typically do not run well on conventional systems and will offer a low latency, high bandwidth and large capacity parallel file system.

This workshop is aimed at researchers who cannot find an adequate system in Switzerland to analyze their data efficiently.

Registration deadline: February 15, 2011

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