Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering applications. The poor data locality of sparse matrices sig...
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
The multiple minimum degree (MMD) algorithm and its variants have enjoyed 20+ years of research and progress in generating ll-reducing orderings for sparse, symmetric positive de n...
The efficient solution of large systems of linear equations represented by sparse matrices appears in many tasks. LU factorization followed by backward and forward substitutions i...
—Field-Programmable Gate Array (FPGA) technology is characterized by continuous improvements that provide new opportunities in system design. Multiprocessors-ona-Programmable-Chi...