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.
CITATION STYLE
Scheftelowitsch, D. (2018). Collider – Parallel Experiments in Silico. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10740 LNCS, pp. 327–331). Springer Verlag. https://doi.org/10.1007/978-3-319-74947-1_27
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