DKRZ

At ISC’17 DKRZ (L-440) presents its mission as a national HPC center - DKRZ provides high performance computers, high capacity data storage and management for German climate research. In Addition DKRZ’s specialists offer a range of services covering modeling and programming, from support in carrying out climate simulations, through parallelisation and optimisation of the simulation programs, to analysis and visualization of the simulation results.

DKRZ is involved in numerous projects. As an example it informs about the new Centre of Excellence in Simulation of Weather and Climate in Europe (ESiWACE), which is coordinated by DKRZ. DKRZ computers are regularly used for the extensive simulations that contribute to the IPCC reports. On a climate globe DKRZ presents climate simulations.

During the conference DKRZ employees contribute to the program as organisers, chairs and/or speakers to keynotes, workshops and BOFs.

The DKRZ research group "Scientific Computing" participates in the student cluster competition.

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Building a Smart Laboratory 2018 highlights the importance of adopting smart laboratory technology, as well as pointing out the challenges and pitfalls of the process

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Informatics experts share their experiences on the implementing new technologies and manging change in the modern laboratory

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This chapter will consider the different classes of instruments and computerised instrument systems to be found in laboratories and the role they play in computerised experiments and sample processing – and the steady progress towards all-electronic laboratories.

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This chapter considers how the smart laboratory contributes to the requirements of a knowledge eco-system, and the practical consequences of joined-up science. Knowledge management describes the processes that bring people and information together to address the acquisition, processing, storage, use, and re-use of knowledge to develop understanding and to create value

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This chapter takes the theme of knowledge management beyond document handling into the analysis and mining of data. Technology by itself is not enough – laboratory staff need to understand the output from the data analysis tools – and so data analytics must be considered holistically, starting with the design of the experiment