Research of parallel algorithms for solving three-diagonal systems of linear algebraic equations on a graphical computing device using various types of memory

X. Pogorelskih, L. V. Loganova
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Abstract

In this paper, we research and compare different implementations of cyclic reduction and sweep algorithms on a graphics processing unit (GPU) using different types of device memory. As a result of the work, it was found that the algorithm of the run should be used to solve the set of the tridiagonal linear system. However, the best results are shown by a parallel version of the cyclic reduction algorithm with partial use of shared memory, when solving a single linear system on the GPU.
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在不同类型存储器的图形计算设备上求解线性代数方程三对角线系统的并行算法研究
在本文中,我们研究并比较了循环缩减和扫描算法在图形处理单元(GPU)上使用不同类型的设备存储器的不同实现。研究结果表明,求解三对角线线性系统的集合时,应采用运行算法。然而,当在GPU上求解单个线性系统时,部分使用共享内存的循环约简算法的并行版本显示出最好的结果。
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