Reducing communication costs in the conjugate gradient algorithm on distributed memory multiprocessors | Zendy

E. D’Azevedo | Zendy; C.H. Romine | Zendy

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Reducing communication costs in the conjugate gradient algorithm on distributed memory multiprocessors

Author(s) -

E. D’Azevedo,

C.H. Romine

Publication year - 1992

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/10176473

Subject(s) - conjugate gradient method , lanczos resampling , computation , conjugate , computer science , algorithm , parallel computing , stability (learning theory) , distributed memory , lanczos algorithm , synchronization (alternating current) , conjugate residual method , shared memory , nonlinear conjugate gradient method , distribution (mathematics) , parallel algorithm , mathematics , telecommunications , artificial intelligence , gradient descent , mathematical analysis , channel (broadcasting) , eigenvalues and eigenvectors , physics , quantum mechanics , machine learning , artificial neural network

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