For matrix with full column rank, QR algorithm is among the best approach to solve wider class of least squares problem (LS). Using the communication optimal variant of TSQR, we study the scalability of the least squares solver with multiple right hand sides. The communication for TSQR based LS solver for multiple right hand sides is still optimal in the sense that no additional messages are necessary compared to TSQR. However, LS has additional communication volume, and flops compared to that for TSQR. The scalability of the proposed method is studied up to few thousand cores using global address space programming framework (GPI) and pthreads
In this work an algorithm for solving triangular systems of equations for multiple right hand sides ...
AbstractThis paper analyzes the solution of simultaneous equations models. Efficient algorithms for ...
Least squares problems occur in many branches of science. Typically there may be a large number of d...
Using a recently proposed communication optimal variant of TSQR, weak scalability of the least squar...
AbstractUsing a recently proposed communication optimal variant of TSQR, weak scalability of the lea...
AbstractA new algorithm is presented for the efficient solution of large least squares problems in w...
International audienceWe present parallel and sequential dense QR factorization algorithms that are ...
We consider a repeated QR updating algorithm for the solution of equality constrained linear least s...
International audienceThe Tall-Skinny QR (TSQR) algorithm is more communication efficient than the s...
We address the problem of solving linear least-squares problems min——Ax−b—— when A is a sparse m-by-...
International audienceSolving linear equations of type Ax=b for large sparse systems frequently emer...
Abstract In this article, we present a QR updating procedure as a solution approach for linear least...
. The linear least squares problem arises in many areas of sciences and engineerings. When the coef...
The solution of nearly square overdetermined linear systems is studied. The sparse QR technique is c...
. We present a parallel algorithm for the QR decomposition with column pivoting of a sparse matrix b...
In this work an algorithm for solving triangular systems of equations for multiple right hand sides ...
AbstractThis paper analyzes the solution of simultaneous equations models. Efficient algorithms for ...
Least squares problems occur in many branches of science. Typically there may be a large number of d...
Using a recently proposed communication optimal variant of TSQR, weak scalability of the least squar...
AbstractUsing a recently proposed communication optimal variant of TSQR, weak scalability of the lea...
AbstractA new algorithm is presented for the efficient solution of large least squares problems in w...
International audienceWe present parallel and sequential dense QR factorization algorithms that are ...
We consider a repeated QR updating algorithm for the solution of equality constrained linear least s...
International audienceThe Tall-Skinny QR (TSQR) algorithm is more communication efficient than the s...
We address the problem of solving linear least-squares problems min——Ax−b—— when A is a sparse m-by-...
International audienceSolving linear equations of type Ax=b for large sparse systems frequently emer...
Abstract In this article, we present a QR updating procedure as a solution approach for linear least...
. The linear least squares problem arises in many areas of sciences and engineerings. When the coef...
The solution of nearly square overdetermined linear systems is studied. The sparse QR technique is c...
. We present a parallel algorithm for the QR decomposition with column pivoting of a sparse matrix b...
In this work an algorithm for solving triangular systems of equations for multiple right hand sides ...
AbstractThis paper analyzes the solution of simultaneous equations models. Efficient algorithms for ...
Least squares problems occur in many branches of science. Typically there may be a large number of d...