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- W2963116348 abstract "The IEEE 754-2008 standard recommends the correct rounding of some elementary functions. This requires solving the Table Maker’s Dilemma (TMD), which implies a huge amount of CPU computation time. In this article, we consider accelerating such computations, namely the Lefèvre algorithm on graphics processing units (GPUs), which are massively parallel architectures with a partial single instruction, multiple data execution. We first propose an analysis of the Lefèvre hard-to-round argument search using the concept of continued fractions. We then propose a new parallel search algorithm that is much more efficient on GPUs thanks to its more regular control flow. We also present an efficient hybrid CPU-GPU deployment of the generation of the polynomial approximations required in the Lefèvre algorithm. In the end, we manage to obtain overall speedups up to 53.4 × on one GPU over a sequential CPU execution and up to 7.1 × over a hex-core CPU, which enable a much faster solution of the TMD for the double-precision format." @default.
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- W2963116348 date "2016-12-05" @default.
- W2963116348 modified "2023-09-24" @default.
- W2963116348 title "GPU-Accelerated Generation of Correctly Rounded Elementary Functions" @default.
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- W2963116348 doi "https://doi.org/10.1145/2935746" @default.
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