Eigen-G: GPU-Based Eigenvalue Solver for Real-Symmetric Dense Matrices
Eigen-G: GPU-Based Eigenvalue Solver for Real-Symmetric Dense Matrices
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Eigen-G：基于 GPU 的实对称密集矩阵特征值求解器
DOI：
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发表时间：
2013
期刊：
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通讯作者：
M. Machida
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作者：
Toshiyuki Imamura;S. Yamada;M. Machida
本文介绍了一种基于GPU的实对称矩阵特征值求解器Eigen-G的性能。我们证实，Eigen-G的性能优于最先进的基于GPU的本征解算器，如MAGMA 1.4.0版中实现的magma_dsyevd和magma_dsyevd_2stage。应用最佳调优的CUDA BLAS库和GPU-CPU混合DGEMM可以获得更好的性能提升。我们在Tesla K20 c上观察到超过magma_ dsyevd的大约2.3倍的加速。
This paper reports the performance of Eigen-G, which is a GPU-based eigenvalue solver for real-symmetric matrices. We confirmed that Eigen-G outperforms state-of-the-art GPU-based eigensolvers such as magma_dsyevd and magma_dsyevd_2stage implemented in the MAGMA version 1.4.0. Applying the best-tuned CUDA BLAS libraries and the GPU-CPU hybrid DGEMM yields an even better performance improvement. We observe an approximately 2.3 times speedup over magma_ dsyevd on a Tesla K20c.