High Performance Computing for Big Earth Observation Data Mining and Applications

Technische Universität Berlin
19/03/2019
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Abstract

Juelich Supercomputing Center is implementing modular HPC architectures to pave the way to Exascale supercomputing. The systems are the result of a co-design approach, which involves the whole pipeline from hardware through middleware to applications. This strategy has a great potential for big Earth Observation data mining and applications. These HPC systems include heterogeneous hardware accelerators (i.e., GPUs, FPGAs) and software technologies within the same architecture, which covers both the needs of classic HPC simulations and novel machine (deep) learning algorithms.

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