Open AccessReducing 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 - 10.2172/7172467
Subject(s) - conjugate gradient method , lanczos resampling , computation , conjugate , computer science , parallel computing , algorithm , stability (learning theory) , lanczos algorithm , distributed memory , synchronization (alternating current) , biconjugate gradient method , conjugate residual method , shared memory , mathematics , telecommunications , gradient descent , mathematical analysis , channel (broadcasting) , eigenvalues and eigenvectors , physics , quantum mechanics , machine learning , artificial neural network
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom