Precimonious: Tuning assistant for floating-point precision

@article{RubioGonzlez2013PrecimoniousTA,
  title={Precimonious: Tuning assistant for floating-point precision},
  author={Cindy Rubio-Gonz{\'a}lez and Cuong Quoc Nguyen and Hong Diep Nguyen and James Demmel and William Kahan and Koushik Sen and David H. Bailey and Costin Iancu and David Hough},
  journal={2013 SC - International Conference for High Performance Computing, Networking, Storage and Analysis (SC)},
  year={2013},
  pages={1-12}
}
Given the variety of numerical errors that can occur, floating-point programs are difficult to write, test and debug. One common practice employed by developers without an advanced background in numerical analysis is using the highest available precision. While more robust, this can degrade program performance significantly. In this paper we present Precimonious, a dynamic program analysis tool to assist developers in tuning the precision of floating-point programs. Precimonious performs a… CONTINUE READING
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  • For most of the programs analyzed, Precimonious reduces precision, which results in performance improvements as high as 41%.

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