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Open AccessJournal ArticleDOI

Parallel solution of sparse linear least squares problems on distributed-memory multiprocessors

Chunguang Sun
- Vol. 23, Iss: 13, pp 2075-2093
TLDR
New block-oriented parallel algorithms for sparse triangular solution for large-scale sparse linear least squares problems on distributed-memory multiprocessors are proposed and the arithmetic and communication complexities of the new algorithms applied to regular grid problems are analyzed.
Abstract
This paper studies the parallel solution of large-scale sparse linear least squares problems on distributed-memory multiprocessors. The key components required for solving a sparse linear least squares problem are sparse QR factorization and sparse triangular solution. A block-oriented parallel algorithm for sparse QR factorization has already been described in the literature. In this paper, new block-oriented parallel algorithms for sparse triangular solution are proposed. The arithmetic and communication complexities of the new algorithms applied to regular grid problems are analyzed. The proposed parallel sparse triangular solution algorithms together with the block-oriented parallel sparse QR factorization algorithm result in a highly efficient approach to the parallel solution of sparse linear least squares problems. Performance results obtained on an IBM Scalable POWERparallel system SP2 are presented. The largest least squares problem solved has over two million rows and more than a quarter million columns. The execution speed for the numerical factorization of this problem achieves over 3.7 gigaflops per second on an IBM SP2 machine with 128 processors.

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Citations
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Journal ArticleDOI

A survey of direct methods for sparse linear systems

TL;DR: The goal of this survey article is to impart a working knowledge of the underlying theory and practice of sparse direct methods for solving linear systems and least-squares problems, and to provide an overview of the algorithms, data structures, and software available to solve these problems.
Proceedings ArticleDOI

Component-Average Based Distributed Seismic Tomography in Sensor Networks

TL;DR: A component-average distributed multiresolution evolving tomography algorithm for processing data and inverting volcano tomography in the network, while avoiding centralized computation and costly data collection is presented.
Journal ArticleDOI

Solving Mixed Sparse-Dense Linear Least-Squares Problems by Preconditioned Iterative Methods

TL;DR: This work proposes processing rows that are identified as dense separately within a conjugate gradient method using an incomplete factorization preconditioner combined with the factorization of a dense matrix of size equal to the number of dense rows.
Journal ArticleDOI

A Schur complement approach to preconditioning sparse linear least-squares problems with some dense rows

TL;DR: This paper partitions the rows of A into sparse rows and dense rows (As and Ad) and applies the Schur complement approach and considers complete factorizations as well as incomplete Cholesky factorizations of the shifted reduced normal matrix.
Journal ArticleDOI

Sparse stretching for solving sparse-dense linear least-squares problems

TL;DR: Large-scale linear least-squares problems arise in a wide range of practical applications and in some cases, the system matrix contains a small number of dense rows.
References
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Journal ArticleDOI

Numerical methods for solving linear least squares problems

TL;DR: This paper considers stable numerical methods for handling linear least squares problems that frequently involve large quantities of data, and they are ill-conditioned by their very nature.
Journal ArticleDOI

The role of elimination trees in sparse factorization

TL;DR: The role of elimination trees in the direct solution of large sparse linear systems is examined and its relation to sparse Cholesky factorization is discussed.
Journal ArticleDOI

Parallel solution of triangular systems on distributed-memory multiprocessors

TL;DR: Several parallel algorithms are presented for solving triangular systems of linear equations on distributed-memory multiprocessors and new wavefront algorithms are developed for both row-oriented and column-oriented matrix storage.
Book

Large-Scale Numerical Optimization

TL;DR: Papers from a workshop held at Cornell University, Oct. 1989, and sponsored by Cornell's Mathematical Sciences Institute, show the potential of big data analytics to improve the quality of education in the classroom.
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