Abstract. We present a uni ed approach for expressing high performance numerical linear algebra routines for a class of dense and sparse matrix formats and shapes. As with the Stan...
The scalable parallel implementation, targeting SMP and/or multicore architectures, of dense linear algebra libraries is analyzed. Using the LU factorization as a case study, it is...
In this paper, we study the problem of optimal matrix partitioning for parallel dense factorization on heterogeneous processors. First, we outline existing algorithms solving the ...
—This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing...
A wide class of geometry processing and PDE resolution methods needs to solve a linear system, where the non-zero pattern of the matrix is dictated by the connectivity matrix of th...