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Second International Workshop on High-Performance Business Computing and GOR-B-Tagung Wirtschaftsinformatik

The Second International Workshop on High-Performance Business Computing (HPBC) was held digitally (due to COVID-19 pandemic) on June 25, 2021. The workshop was technically hosted by the Paderborn Center for Parallel Computing (PC2) of Paderborn University.

The primary objective of the workshop was the discussion of the design, implementation, computational evaluation, and application of parallel algorithms in modern high-performance computing (HPC) environments for solving problems in business-oriented fields, including management science, operations research, data analytics, and business administration and economics.

The workshop was opened with a welcome note given by Guido Schryen (Paderborn University) and a presentation of the Paderborn Center for Parallel Computing and the German National High‐Performance Computing Initiative by Christian Plessl (Paderborn University). In the first of two morning sessions, Kevin Tierney (University of Bielefeld) reported on Neural Large Neighborhood Search for Vehicle Routing Problems and Lars Mönch (FernUniversität in Hagen) gave a talk on Experimental Environment for Semiconductor Supply Chain Planning Based on Distributed Computing Techniques. The second morning session included talks given by Jan-Peter Kucklick (Paderborn University) on Satellite image based hedonic pricing models enabled by GPU, Utz-Uwe Haus (HPE HPC EMEA Resarch Lab) on High Performance Computing at the Edge of Business andIoannis T. Christou (INTRASOFT Intl. & The American College of Greece) on Fast Near‐Optimal Determination of (s, S, T) Periodic Review Inventory Policy Parameters.

After a lunch break, Wilmjakob Herlyn (Otto‐von‐Guericke Universität Magdeburg, Ostfalia Hochschule Wolfenbüttel) presented The Concept of the ‘Digital Control Twin’ and impacts on the performance requirements of future ERP/MRP/PPS‐Systems, Frank Devai (London South Bank & University Hungarian Academy of Sciences) gave a talk on Amdahl's law and the Gordon Bell Prize, Eyke Hüllermeier (LMU Munich) reported on Computational Challenges in Automated Machine Learning, andMartin Ziegler (KAIST) reflected on More of the Same or Disruptive Innovation? The Future of Scientific Computing.

The workshop ended with a panel on The Future of HPC in Business Computing: Opportunities, Limitations and Challenges in which the three panelists Eyke Hüllermeier, Lars Mönch and Utz-Uwe Haus discussed with the audience issues related to particular characteristics of HPC in business computing, which partially differ from those in other HPC disciplines, such as engineering and the natural sciences.

The second workshop on High-Performance Business Computing allowed researchers and practitioners from various scientific communities to discuss issues of High-Performance Computing through the lens of business computing. The talks, discussions, and the panel enabled a broad, multi-faceted discourse on technological, infrastructural, algorithmic, computational, philosophical, and application-oriented issues of HPC with a particular focus on business problems. The second workshop continued and intensified the discussions on HPBC as they have been initiated in the inaugural workshop held in 2019. The workshop series is intended to be continued with a third HPBC workshop in 2022.

After the workshop, a meeting of the GOR working group Wirtschaftsinformatik was held. The working group aims at the exchange of knowledge between academic research and practice by discussing aspects of computer science that are relevant for business problems and for the application of OR methods.

Jointly organized by Guido Schryen (Paderborn University), Prof. Dr. Christian Plessl (Paderborn University), Prof. Dr. Oliver Müller (Paderborn University), Prof. Dr. Natalia Kliewer (Freie Universität Berlin), Prof. Dr. Ralf Borndörfer (Zuse Institute Berlin)

Supported by Gesellschaft für Operations Research e.V. and SFB 901 On-The-Fly-Computing

Authors: Guido Schryen, Natalia Kliewer

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