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An improved bi-conjugate residual algorithm suitable for distributed parallel computing

机译:一种适用于分布式并行计算的改进的双共轭残差算法

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An improved bi-conjugate residual (BiCR) method (IBiCR method, in brief) for solving large sparse linear systems with unsymmetrical coefficient matrices was proposed for distributed parallel environments. The method reduced two global synchronization points to one by reconstructing BiCR method and all inner products per iteration were independent and communication time required for inner product can be overlapped efficiently with computation time of vector updates. It combines the elements of numerical stability with the characters of design of parallel algorithms. The cost is only a little increased computation. Performance and isoefficiency analysis shows that IBiCR method has better parallelism and scalability than BiCR method. Numerical experiments show that the parallel performance can be improved by a factor of about 2. We compared also IBiCR with IBiCG and BiCR with BiCG methods. The results show that BiCR and IBiCR methods convergent at the same number of iteration, and they convergent faster than BiCG and IBiCG methods, respectively. Furthermore, IBiCR method conquers the vibration of residual norm of IBiCG method. (c) 2006 Elsevier Inc. All rights reserved.
机译:针对分布式并行环境,提出了一种用于求解具有非对称系数矩阵的大型稀疏线性系统的改进的双共轭残差(BiCR)方法(简称为IBiCR方法)。该方法通过重建BiCR方法将两个全局同步点减少为一个,并且每次迭代的所有内积都是独立的,并且内积所需的通信时间可以与向量更新的计算时间有效地重叠。它结合了数值稳定性和并行算法设计的特点。成本只是增加了一点计算量。性能和等效率分析表明,IBiCR方法比BiCR方法具有更好的并行性和可扩展性。数值实验表明,并行性能可以提高大约2倍。我们还比较了IBiCR与IBiCG和BiCR与BiCG方法。结果表明,BiCR和IBiCR方法在相同的迭代次数下收敛,并且收敛速度分别比BiCG和IBiCG方法快。此外,IBiCR方法克服了IBiCG方法的剩余范数的振动。 (c)2006 Elsevier Inc.保留所有权利。

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