2 citations · 2 across the 2 of their papers we have counts for
2 papers
math.NA2016★ 2 cited
On Memory Footprints of Partitioned Sparse Matrices
Daniel Langr
Runtime characteristics of sparse matrix computations and related processes may be often improved by reducing memory footprints of involved matrices. Such a reduction can be usuall…
cs.DC2014
Loading Large Sparse Matrices Stored in Files in the Adaptive-Blocking Hierarchical Storage Format
Daniel Langr, Ivan Šimeček, Pavel Tvrdík
The parallel algorithm for loading large sparse matrices from files into distributed memories of high performance computing (HPC) systems is presented. This algorithm was designed…