Michael presented the paper Improving Energy Efficiency of Scientific Data Compression with Decision Trees at ENERGY 2020. He was also part of the panel on “Energy Data and Adaptive Consumption”, where he gave a talk about “Improving Energy Efficiency in High Performance Computing by Powering Down Unused Resources”. Moreover, our student Daniel presented the paper ArduPower v2: Open and Modular Power Measurement for HPC Components.
Together with colleagues from Sandia National Laboratories and Intel, Michael and Kira organized the Challenges and Opportunities of HPC Storage Systems (CHAOSS) workshop at Euro-Par 2020.
It is aimed at researchers, developers of scientific applications, engineers and everyone interested in the evolution of HPC storage systems. As the developments of computing power, storage and network technologies continue to diverge, the performance gap between them widens. This trend, combined with the growing data volumes, results in I/O and storage bottlenecks that become increasingly serious especially for large-scale HPC storage systems. The hierarchy of different storage technologies to ease this situation leads to a complex environment which will become even more challenging for future exascale systems.