Abstract
Large-scale software experiments are a ubiquitous feature of research. For example, performance evaluation of algorithms implies testing said algorithms on a large number of test cases. We provide a software framework which helps performing experiments on large parameter spaces, benefits from multi-core architectures, and saves generated results in a machine-readable format for future post-processing.
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Scheftelowitsch, D. (2018). Collider – Parallel Experiments in Silico. In: German, R., Hielscher, KS., Krieger, U. (eds) Measurement, Modelling and Evaluation of Computing Systems. MMB 2018. Lecture Notes in Computer Science(), vol 10740. Springer, Cham. https://doi.org/10.1007/978-3-319-74947-1_27
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DOI: https://doi.org/10.1007/978-3-319-74947-1_27
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Online ISBN: 978-3-319-74947-1
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