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Simulation software engineering: experiences and challenges

Published: 15 November 2015 Publication History

Abstract

Using software for large-scale simulations has become an important research method in many disciplines. With increasingly complex simulations, simulation software becomes a valuable assest. Yet, the quality of many simulation codes is worrying. In this paper, we want to collect and structure the challenges for a systematic simulation software engineering as a reference and the basis for further research. We describe our own experiences with developing simulation software and collaborating with non-computer-scientists. We complement our experienced challenges with a brief literature review. We structured the challenges for simulation software engineering into six areas: motivation and recognition; education and training; developer turnover; software length of life; verification, validation and debugging; and efficiency vs. maintainability. Overcoming these challenges needs efforts from research agencies, scientific computing researchers as well as software engineering researchers.

References

[1]
V. R. Basili, J. C. Carver, D. Cruzes, et al. Understanding the high-performance-computing community: A software engineer's perspective. IEEE Software, 25(4):29--36, 2008.
[2]
J. Carver, D. Heaton, L. Hochstein, and R. Bartlett. Self-Perceptions about Software Engineering: A Survey of Scientists and Engineers. Computing in Science & Engineering, 15(1):7--11, Jan. 2013.
[3]
J. C. Carver. Software Engineering for Computational Science and Engineering. Computing in Science & Engineering, 14(2):8--11, 2012.
[4]
S. M. Easterbrook and T. C. Johns. Engineering the software for understanding climate change. Computing in Science & Engineering, 11(6), 2009.
[5]
D. Heaton and J. C. Carver. Claims about the use of software engineering practices in science: A systematic literature review. Information and Software Technology, 67:207--219, 2015.
[6]
J. Pitt-Francis, M. O. Bernabeu, J. Cooper, et al. Chaste: using agile programming techniques to develop computational biology software. Phil. Trans. of the Royal Society A: Mathematical, Physical and Engin. Sciences, 366(1878):3111--3136, Sept. 2008.
[7]
President's IT Advisory Committee. Computational science: Ensuring America's competitiveness. Report to the president, Executive Office of the President of the United States, 2005.
[8]
S. Squires, M. Van De Vanter, and L. Votta. Yes, there is an "expertise gap" in HPC applications development. In Proc. 3rd International Workshop on Productivity and Performance in High-End Computing (PPHEC'06). IEEE, 2006.
[9]
T. G. Trucano, D. E. Post, M. Pilch, and W. L. Oberkampf. Software engineering intersection with verification and validation of higher performance computational science software: Some observations. Technical Report SAND2005-3662P, Sandia National Laboratories, 2005.
[10]
S. Turek, D. Göddeke, S. H. M. Buijssen, and H. Wobker. Hardware-oriented multigrid finite element solvers on gpu-accelerated cluster. In J. Kurzak, D. A. Bader, and J. Dongarra, editors, Scientific Computing with Multicore and Accelerators, Chapman & Hall/CRC Computational Science, pages 113--130. CRC Press, 2010.
[11]
Wissenschaftsrat. Bedeutung und Weiterentwicklung von Simulation in der Wissenschaft. Position paper, Wissenschaftsrat, 2014.

Cited By

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  • (2023)Bilimsel Yazılım Geliştirme Süreçleri için bir Yazılım Mühendisliği Yetkinlik EnvanteriA Software Engineering Competency Inventory for Scientific Software Development ProcessesTürkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi10.54525/tbbmd.115944316:2(170-176)Online publication date: 20-Nov-2023
  • (2016)The scalability-efficiency/maintainability-portability trade-off in simulation software engineeringProceedings of the Fourth International Workshop on Software Engineering for HPC in Computational Science and Engineering10.5555/3019106.3019110(19-27)Online publication date: 13-Nov-2016
  • (2016)Computational efficiency vs. maintainability and portability. experiences with the sparse grid code SG++Proceedings of the Fourth International Workshop on Software Engineering for HPC in Computational Science and Engineering10.5555/3019106.3019109(10-18)Online publication date: 13-Nov-2016
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      cover image ACM Conferences
      SE-HPCCSE '15: Proceedings of the 3rd International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering
      November 2015
      35 pages
      ISBN:9781450340120
      DOI:10.1145/2830168
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 15 November 2015

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      1. simulation software
      2. software engineering

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      • (2023)Bilimsel Yazılım Geliştirme Süreçleri için bir Yazılım Mühendisliği Yetkinlik EnvanteriA Software Engineering Competency Inventory for Scientific Software Development ProcessesTürkiye Bilişim Vakfı Bilgisayar Bilimleri ve Mühendisliği Dergisi10.54525/tbbmd.115944316:2(170-176)Online publication date: 20-Nov-2023
      • (2016)The scalability-efficiency/maintainability-portability trade-off in simulation software engineeringProceedings of the Fourth International Workshop on Software Engineering for HPC in Computational Science and Engineering10.5555/3019106.3019110(19-27)Online publication date: 13-Nov-2016
      • (2016)Computational efficiency vs. maintainability and portability. experiences with the sparse grid code SG++Proceedings of the Fourth International Workshop on Software Engineering for HPC in Computational Science and Engineering10.5555/3019106.3019109(10-18)Online publication date: 13-Nov-2016
      • (2016)Computational Efficiency vs. Maintainability and Portability. Experiences with the Sparse Grid Code SG++2016 Fourth International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering (SE-HPCCSE)10.1109/SE-HPCCSE.2016.007(17-25)Online publication date: Nov-2016

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