Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
Sparse matrix-vector multiplication is an important kernel that often runs inefficiently on superscalar RISC processors. This paper describes techniques that increase instruction-...
This paper presents an efficient hierarchical 3D capacitance extraction algorithm -- ICCAP. Most previous capacitance extraction algorithms introduce intermediate variables to fac...
—An efficient maximum-likelihood decoder with a new reduction strategy is proposed for linear MIMO channel systems. Unlike the current reduction strategies which only reorder th...
In this paper we present HUND, a hypergraph-based unsymmetric nested dissection ordering algorithm for reducing the fill-in incurred during Gaussian elimination. HUND has several i...
Laura Grigori, Erik G. Boman, Simplice Donfack, Ti...