ABSTRACT
Parallel programming is a computing paradigm that gains more and more adopters each year. Embracing parallel programming means in most of the cases the usage of a particular library that allows to add parallelism and concurrency to applications. Unfortunately there still is little knowledge about how parallel libraries are used in practice and without such information it is quite hard to promote them, for example, in terms of the importance of their provided functionalities. In this paper we focus on the usages of MPI, one of the most popular model facilitating parallel programming. By addressing research questions regarding the usage of MPI constructs as well as the structural complexity of MPI open source applications we aim to encourage new developers to embrace MPI, as well as to consider adopting open source systems which rely on MPI.
- John Businge, Alexander Serebrenik, and Mark van den Brand. Analyzing the Eclipse API usage: Putting the developer in the loop. 15th European Conference on Software Maintenance and Reengineering, 2013. Google ScholarDigital Library
- Spinellis Diomidis and Giannikas Vaggelis. Open source adoption in large us companies. 4th Mediterranean Conference on Information Systems, 2009.Google Scholar
- The MPI Forum. MPI: A message passing interface, 1993.Google Scholar
- M. Lanza and R. Marinescu. Object-Oriented Metrics in Practice. Springer Verlag, 2006. Google ScholarDigital Library
- Wei Li and Raed Shatnawi. An empirical study of the bad smells and class error probability in the post-release object-oriented system evolution. Journal of Systems and Software, 80, July 2007. Google ScholarDigital Library
- C. Marinescu, R. Marinescu, P. F. Mihancea, D. Raţiu, and R. Wettel. iPlasma: An integrated platform for quality assessment of object-oriented design. In Proc. IEEE International Conference on Software Maintenance (ICSM Industrial and Tool Volume), Budapest, Hungary. IEEE Computer Society Press, 2005.Google ScholarDigital Library
- Radu Marinescu and Cristina Marinescu. Are the clients of flawed classes (also) defect prone? In Proc. IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM), Williamsburg, USA. IEEE Computer Society Press, 2011. Google ScholarDigital Library
- T. J. McCabe. A Complexity Measure. IEEE Transactions on Software Engineering, 2(4):308--320, dec 1976. Google ScholarDigital Library
- NVIDIA. Web page: http://www.nvidia.com/object/cuda_home_new.html, 2013.Google Scholar
- Semih Okur and Danny Dig. How do developers use parallel libraries? In Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering, New York, NY, USA, 2012. ACM. Google ScholarDigital Library
- Steffen M. Olbrich, Daniela S. Cruzes, and Dag I. K. Sjberg. Are all code smells harmful? a study of god classes and brain classes in the evolution of three open source systems. In IEEE International Conference on Software Maintenance, 2010. Google ScholarDigital Library
- R Development Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Web page: http://www.R-project.org, 2010. ISBN 3-900051-07-0.Google Scholar
- David J. Sheskin. Handbook of Parametric and Nonparametric Statistical Procedures, 4th edition. Chapman & Hall/CRC, 2007. Google ScholarDigital Library
- C. Teyton, J. R. Falleri, M. Palyart, and X. Blanc. A study of library migration in java software. CoRR, 2013.Google Scholar
- Weslley Torres, Gustavo Pinto, Benito Fernandes, JoÃčo Paulo Oliveira, Filipe Alencar Ximenes, and Fernando Castor. Are java programmers transitioning to multicore?: a large scale study of java FLOSS. In SPLASH Workshops, 2011. Google ScholarDigital Library
- Richard Wettel and Radu Marinescu. Archeology of code duplication: Recovering duplication chains from small duplication fragments. In Proceedings of the 7th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC 2005), 2005. Google ScholarDigital Library
- Rui Xin, Zhengwei Qi, Shiqiu Huang, Chengcheng Xiang, Yudi Zheng, Yin Wang, and Haibing Guan. An automation-assisted empirical study on lock usage for concurrent programs. In 29th IEEE International Conference on Software Maintenance, 2013. Google ScholarDigital Library
- Robert K. Yin. Case Study Research: Design and Methods., 3rd edition. SAGE Publications, 2002.Google Scholar
- Thomas Zimmermann, Rahul Premraj, and Andreas Zeller. Predicting defects for Eclipse. In Third International Workshop on Predictor Models in Software Engineering. IEEE Computer Society, 2007. Google ScholarDigital Library
Index Terms
- An empirical investigation on MPI open source applications
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