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Business & Information Systems Engineering
Published in: Business & Information Systems Engineering 5/2018

10-07-2018 | Call for Papers

Call for Papers Issue 1/2020

High Performance Business Computing

Authors: Prof. Dr. Guido Schryen, Prof. Dr. Natalia Kliewer, Prof. Dr. Andreas Fink

Published in: Business & Information Systems Engineering | Issue 5/2018

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Excerpt

High Performance Business Computing (HPBC) is the application of models, methodologies, tools and technologies of High Performance Computing (HPC) (e.g., Hager and Wellein 2010) to business problems. While its neighbor discipline, High Performance Technical Computing, has already found entrance into a variety of scientific disciplines, including meteorology, engineering, bio sciences, physics, chemistry and mathematics, the fields of management science (MS) and information systems research (ISR) have largely neglected to start exploiting the potentials that HPC offer for business problems and addressing the need of modern business computing for high computing power and capability to deal with huge volumes of data. …
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Literature
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Fuller SH, Millet LI (2011) The future of computing performance: game over or next level? In: Fuller SH, Millett LI (eds) National research council of the national academies. National Academies Press, Washington, D.C.
Gendron B, Crainic TG (1994) Parallel branch-and-bound algorithms: survey and synthesis. Oper Res 42(6):1042–1066CrossRef
Hager G, Wellein G (2010) Introduction to high performance computing for scientists and engineers. CRC Press, Boca RatonCrossRef
Wang Q, Li B, Wang P, Yang J (2016) Using TB-sized data to understand multi-device advertising. In: Proceedings of the international conference on information systems, Dublin
Zhang K, Bhattacharyya S, Ram S (2016) Large-scale network analysis for online social brand advertising. MIS Q 40(4):849–868CrossRef
Metadata
Title
Call for Papers Issue 1/2020
High Performance Business Computing
Authors
Prof. Dr. Guido Schryen
Prof. Dr. Natalia Kliewer
Prof. Dr. Andreas Fink
Publication date
10-07-2018
Publisher
Springer Fachmedien Wiesbaden
Published in
Business & Information Systems Engineering / Issue 5/2018
Print ISSN: 2363-7005
Electronic ISSN: 1867-0202
DOI
https://doi.org/10.1007/s12599-018-0549-x

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