This special issue addresses High Performance Business Computing (HPBC), which is the application of models, methodologies, tools and technologies of High Performance Computing (HPC) (e.g., Hager and Wellein 2010) to business problems. Its neighbor discipline, High Performance Technical Computing (HPTC), has already found entrance into a variety of scientific disciplines, offering an impressive portfolio of results and further research opportunities. For example, in medicine the cure for Alzheimer’s disease may come from a leap forward in HPC as researchers have started surveying an immense number of genomes and assembling these back into pictures, requiring a huge amount of data (680 GB per genome) to be processed (German Center for Neurodegenerative Diseases 2017; Hopkins 2017). In biophysics, scientists have resolved the HIV-1 capsid’s chemical structure through parallel molecular dynamics simulations on a supercomputer (Zhao et al. 2013). In earth system sciences, researchers have succeeded in simulating the world-wide weather with extreme high resolution (870 m) (Yashiro et al. 2014) and in simulating and visualizing hurricanes for the purpose of forecasting (National Center for Atmospheric Research 2018). In astrophysics, researchers explore the universe with radio telescopes and make use of graphics processing units (GPUs) to process huge volume of data (160 GB/s) (Square Kilometre Array Project 2019). …
WI – WIRTSCHAFTSINFORMATIK – ist das Kommunikations-, Präsentations- und Diskussionsforum für alle Wirtschaftsinformatiker im deutschsprachigen Raum. Über 30 Herausgeber garantieren das hohe redaktionelle Niveau und den praktischen Nutzen für den Leser.
BISE (Business & Information Systems Engineering) is an international scholarly and double-blind peer-reviewed journal that publishes scientific research on the effective and efficient design and utilization of information systems by individuals, groups, enterprises, and society for the improvement of social welfare.
Texte auf dem Stand der wissenschaftlichen Forschung, für Praktiker verständlich aufbereitet. Diese Idee ist die Basis von „Wirtschaftsinformatik & Management“ kurz WuM. So soll der Wissenstransfer von Universität zu Unternehmen gefördert werden.