
The authors design parallel algorithms for merging two \(k\times n\) (\(k\leq n\)) upper trapezoidal submatrices on a pair of directly connected local- memory processors or two clusters of tightly-coupled processors. It is shown that in both environments the work load is evenly distributed, communication can be well masked by computation, and the optimal speedup may be achieved.
Numerical solutions to overdetermined systems, pseudoinverses, Numerical algorithms for specific classes of architectures, multiprocessor machines, Distributed algorithms, large scale least squares computations, parallel algorithms, Givens rotations, merging algorithm
Numerical solutions to overdetermined systems, pseudoinverses, Numerical algorithms for specific classes of architectures, multiprocessor machines, Distributed algorithms, large scale least squares computations, parallel algorithms, Givens rotations, merging algorithm
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