In this paper, we introduce a new d-Spline based Incremental Performance Parameter Estimation method (IPPE). We first define a fitting function d-Spline, which has high flexibility to adapt given data and can be easily computed. The complexity of d-Spline is O(n). We introduce a procedure for incremental performance parameter estimation and an example of data fitting using d-Spline. We applied the IPPE method to automatic performance tuning and ran some experiments. The experimental results illustrate of the advantages of this method, such as high accuracy with a relatively small estimation time and high efficiency for large problem sizes. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Tanaka, T., Katagiri, T., & Yuba, T. (2007). d-Spline based incremental parameter estimation in automatic performance tuning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4699 LNCS, pp. 986–995). Springer Verlag. https://doi.org/10.1007/978-3-540-75755-9_116
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