Abstract: Graph processing is typically memory bound due to low compute to memory access ratio and irregular data access pattern. The emerging high-bandwidth memory (HBM) delivers exceptional ...
Abstract: Numerical computational science dominated the first half century of high- performance computing; graph theory served numerical linear algebra by enabling efficient sparse matrix methods.
A project headed by the SEI’s Scott McMillan took a step in 2020 toward standardizing graph algorithm application development in C++. The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, is a ...
This repository contains several versions of algebraic multigrid coarsening for graphs used for solving such combinatorial optimization problems on graphs as the minimum linear arrangement, 2-sum, ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback