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Finite-element discretization produces linear equations in the form Ax=b, where A is large, sparse, and banded with proper ordering of the variables x. The solution of such equations on distributed-memory message-passing multiprocessors implementing the hypercube topology is addressed. Iterative algorithms based on the conjugate gradient method are developed for hypercubes designed for coarse-g
parallel algorithms; iterative algorithms; large sparse systems; linear equations; hypercubes; distributed-memory; message-passing multiprocessors; hypercube topology; conjugate gradient method; finite element analysis; iterative methods; linear algebra; parallel algorithms.

F. Ercal, F. Ozguner, C. Aykanat and P. Sadayappan, "Iterative Algorithms for Solution of Large Sparse Systems of Linear Equations on Hypercubes," in IEEE Transactions on Computers, vol. 37, no. , pp. 1554-1568, 1988.
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