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Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment.

, , , , and . Int. J. Netw. Comput., 1 (2): 132-143 (2011)

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Performance Analysis of the Householder-Type Parallel Tall-Skinny QR Factorizations Toward Automatic Algorithm Selection., , and . VECPAR, volume 8969 of Lecture Notes in Computer Science, page 269-283. Springer, (2014)Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis., , , , and . CoRR, (2019)Acceleration of Hessenberg Reduction for Nonsymmetric Eigenvalue Problems in a Hybrid CPU-GPU Computing Environment., , , , and . Int. J. Netw. Comput., 1 (2): 132-143 (2011)Effect of Mixed Precision Computing on H-Matrix Vector Multiplication in BEM Analysis., , , , and . HPC Asia, page 92-101. ACM, (2020)Differential qd algorithm for totally nonnegative Hessenberg matrices: introduction of origin shifts and relationship with the discrete hungry Lotka-Volterra system., and . JSIAM Lett., (2010)Performance prediction of massively parallel computation by Bayesian inference., , , , and . JSIAM Lett., (2022)A New AINV Preconditioner for the CG Method in Hybrid CPU-GPU Computing Environment., , and . J. Inf. Process., (2022)Shifted Cholesky QR for Computing the QR Factorization of Ill-Conditioned Matrices., , , , and . SIAM J. Sci. Comput., 42 (1): A477-A503 (2020)CAHTR: Communication-Avoiding Householder TRidiagonalization., , , , and . PARCO, volume 27 of Advances in Parallel Computing, page 381-390. IOS Press, (2015)Differential qd algorithm for totally nonnegative band matrices: convergence properties and error analysis., and . JSIAM Lett., (2009)