We introduce our BNCpack, a numerical computation library, with both IEEE754 standard floating point arithmetic and multiple precision floating point arithmetic. This library in which we have implemented basic numerical algorithms is able to obtain numerical results faster than expensive proprietary symbolic processing softwares. At last, performance of parallelized multiple precision numerical computation using BNCpack is shown.
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References in zbMATH (referenced in 4 articles )
Showing results 1 to 4 of 4.
- Kouya, Tomonori: Performance evaluation of multiple precision matrix multiplications using parallelized Strassen and Winograd algorithms (2016)
- Kouya, Tomonori: Performance evaluation of multiple and mixed precision iterative refinement method and its application to high-order implicit Runge-Kutta method (2013)
- Kouya, Tomonori: A highly efficient implementation of multiple precision sparse matrix-vector multiplication and its application to product-type Krylov subspace methods (2012)
- Kouya, Tomonori: On BNCpack, a multiple precision numerical computation library, and its parallelization (2004)