This paper presents a novel time-adaptive estimation technique by revisiting the classical Wiener-Hopf equation. Any convex and not necessarily differentiable function can be used...
: The present paper discusses the implementations of sparse matrix-vector products, which are crucial for high performance solutions of large-scale linear equations, on a PC-Cluste...
—Sparse Matrix-Vector multiplication (SpMV) is a very challenging computational kernel, since its performance depends greatly on both the input matrix and the underlying architec...
Vasileios Karakasis, Georgios I. Goumas, Nectarios...
This paper presents an efficient way to construct the self-similarity matrix, a popular approach, to detect repeating segments in music. Our proposed method extends the sparse suf...
Abstract. Writing e cient iterative solvers for irregular, sparse matrices in HPF is hard. The locality in the computations is unclear, and for e ciency we use storage schemes that...