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Parallel Software to Offset the Cost of Higher Precision
arXiv - CS - Symbolic Computation Pub Date : 2020-12-11 , DOI: arxiv-2012.06607
Jan Verschelde

Hardware double precision is often insufficient to solve large scientific problems accurately. Computing in higher precision defined by software causes significant computational overhead. The application of parallel algorithms compensates for this overhead. Newton's method to develop power series expansions of algebraic space curves is the use case for this application.

中文翻译:

并行软件可抵消更高的精度成本

硬件双精度通常不足以准确解决大型科学问题。由软件定义的更高精度的计算会导致大量的计算开销。并行算法的应用弥补了这种开销。牛顿开发代数空间曲线的幂级数展开的方法是此应用程序的用例。
更新日期:2020-12-15
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