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The BioDynaMo Project: Experience Report
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Author(s): Roman Bauer (Newcastle University, UK), Lukas Breitwieser (CERN openlab, Switzerland), Alberto Di Meglio (CERN openlab, Switzerland), Leonard Johard (Innopolis University, Russia), Marcus Kaiser (Newcastle University, UK), Marco Manca (CERN openlab, Switzerland), Manuel Mazzara (Service Science and Engineering Lab, Innopolis University, Russia), Fons Rademakers (CERN openlab, Switzerland), Max Talanov (Kazan Federal University, Russia)and Alexander Dmitrievich Tchitchigin (Innopolis University, Russia)
Copyright: 2017
Pages: 9
Source title:
Advanced Research on Biologically Inspired Cognitive Architectures
Source Author(s)/Editor(s): Jordi Vallverdú (Universitat Autònoma de Barcelona, Spain), Manuel Mazzara (Innopolis University, Russia), Max Talanov (Kazan Federal University, Russia), Salvatore Distefano (University of Messina, Italy & Kazan Federal University, Russia)and Robert Lowe (University of Gothenburg, Sweden & University of Skövde, Sweden)
DOI: 10.4018/978-1-5225-1947-8.ch006
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Abstract
Computer simulations have become a very powerful tool for scientific research. Given the vast complexity that comes with many open scientific questions, a purely analytical or experimental approach is often not viable. For example, biological systems comprise an extremely complex organization and heterogeneous interactions across different spatial and temporal scales. In order to facilitate research on such problems, the BioDynaMo project aims at a general platform for computer simulations for biological research. Since scientific investigations require extensive computer resources, this platform should be executable on hybrid cloud computing systems, allowing for the efficient use of state-of-the-art computing technology. This chapter describes challenges during the early stages of the software development process. In particular, we describe issues regarding the implementation and the highly interdisciplinary as well as international nature of the collaboration. Moreover, we explain the methodologies, the approach, and the lessons learned by the team during these first stages.
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