GPU-based parallel solver via the Kantorovich theorem for the nonlinear Bernstein polynomial systems

GPU-based parallel solver via the Kantorovich theorem for the nonlinear Bernstein polynomial systems
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基于 GPU 的并行求解器,通过 Kantorovich 定理求解非线性 Bernstein 多项式系统

DOI:
10.1016/j.camwa.2011.05.058
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发表时间:
2011-09
期刊:
Computers & Mathematics with Applications
影响因子:
--
通讯作者:
Lin, Hongwei
Lin, Hongwei
中科院分区:
其他
文献类型:
--
作者:
Wei, Feifei;Feng, Jieqing;Lin, Hongwei

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提出了一种基于细分和Newton-Raphson方法的伯恩斯坦型非线性方程组的并行求解器,其中利用Kantorovich定理确定了方程组的唯一根,并保证了Newton-Raphson迭代的收敛性.由于康托洛维奇定理在根处容纳了奇异雅可比矩阵,因此所提出的算法在多根情况下表现良好。此外,求解器的设计和实现在图形处理单元(GPU)与SIMD架构的并行,因此,解决了大量的系统的效率大大提高,我们的实验结果验证了观察。
This paper proposes a parallel solver for the nonlinear systems in Bernstein form based on subdivision and the Newton–Raphson method, where the Kantorovich theorem is employed to identify the existence of a unique root and guarantee the convergence of the Newton–Raphson iterations. Since the Kantorovich theorem accommodates a singular Jacobian at the root, the proposed algorithm performs well in a multiple root case. Moreover, the solver is designed and implemented in parallel on Graphics Processing Unit(GPU) with SIMD architecture; thus, efficiency for solving a large number of systems is improved greatly, an observation validated by our experimental results.
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