Biblio

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Frachtenberg, E, Feitelson DG.  2005.  Pitfalls in parallel job scheduling evaluation. Proceedings of the 11th international conference on Job Scheduling Strategies for Parallel Processing. :257–282. Abstract
Mytkowicz, T, Diwan A, Hauswirth M, Sweeney PF.  2009.  Producing wrong data without doing anything obviously wrong!. ASPLOS '09: Proceeding of the 14th international conference on Architectural support for programming languages and operating systems. :265–276. Abstract
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Vitek, J, Kalibera T.  2011.  Repeatability, reproducibility, and rigor in systems research. Proceedings of the ninth ACM international conference on Embedded software. :33–38. Abstract
Drummond, C.  2009.  Replicability in not Reproducibility: Nor is it Good Science. The 4th workshop on Evaluation Methods for Machine Learning. Abstract
Kalibera, T, Jones R.  2013.  Rigorous Benchmarking in Reasonable Time. Proceedings of the 2013 International Symposium on Memory Management. :63–74. Abstract
Basili, VR.  1996.  The role of experimentation in software engineering: past, current, and future. Proceedings of the 18th international conference on Software engineering. :442–449. Abstract
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Hoefler, T, Belli R.  2015.  Scientific Benchmarking of Parallel Computing Systems: Twelve Ways to Tell the Masses when Reporting Performance Results. Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. :73:1–73:12. Abstract
Curtsinger, C, Berger ED.  2013.  STABILIZER: Statistically Sound Performance Evaluation. Proceedings of the Eighteenth International Conference on Architectural Support for Programming Languages and Operating Systems. :219–228. Abstract
Georges, A, Buytaert D, Eeckhout L.  2007.  Statistically rigorous java performance evaluation. OOPSLA '07: Proceedings of the 22nd annual ACM SIGPLAN conference on Object-oriented programming systems and applications. :57–76. Abstract