Capabilities Architecture The Stacked Linear Algebra Graph implements a directed graph with a weight on each vertex and edge. The graph models vertices and adjacency matrices as GraphBLAS sparse ...

The GraphBLAS, Basic Linear Algebra Subprograms for Graphs, is a community-driven, open programming specification for graph analysis. The specification makes the development of high-performance graph ...

EPS10. Vector graph or chart of linear function. The mathematical... Vector graph or chart of linear function with formula or equation y = mx + b, y = ax + b or y = kx + q. The mathematical operation, ...

Large-scale computations on networks and graphs arise in many areas of modern data science. Graph theory and linear algebra are of course intimately linked. This minisymposium will highlight tools ...

Linear functions are fundamental building blocks in mathematics and play a key role in solving real-world problems where the rate of change remains constant. Linear functions arise in a wide range of ...

In this paper, we consider some known problems of graph theory from the linear algebra point of view. Studying features of vector spaces over characteristic-two finite field allows us to reprove the ...

Numerical computational science dominated the first half century of high- performance computing; graph theory served numerical linear algebra by enabling efficient sparse matrix methods. Turnabout is ...

This paper concerns the more foundational tasks of distributed dense linear algebra. While a single TPU core can already store and operate on large matrices (e.g., of size 16,384, 32,768 in single ...

Originally intended to facilitate graph analysis, GraphBLAS has many potential applications thanks to its ability to perform a large class of linear algebra operations. The complexities of these ...