The challenges associated with graph algorithm scaling led multiple scientists to identify the need for an abstraction layer that would allow algorithm specialists to write high-performance, matrix-based graph algorithms that hardware specialists could then design to without having to manage the complexities of every type of graph algorithm. With this philosophy in mind, a number of researchers (including two Turing Award winners) came together and proposed the idea that “the state of the art in constructing a large collection of graph algorithms in terms of linear algebraic operations is mature enough to support the emergence of a standard set of primitive building blocks
Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twent...
This report documents the program and the outcomes of Dagstuhl Seminar 14461 "High- performance Grap...
Copyright 2015 ACM. As new applications for graph algorithms emerge, there has been a great deal of ...
The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix based gra...
Abstract — It is our view that the state of the art in constructing a large collection of graph algo...
The analysis of graphs has become increasingly important to a wide range of applications. Graph anal...
The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix-based gra...
It is our view that the state of the art in constructing a large collection of graph algorithms in t...
The analysis of graphs has become increasingly important to a wide range of applications. Graph anal...
AbstractThe analysis of graphs has become increasingly important to a wide range of applications. Gr...
Graph algorithms typically have very low computational intensities, hence their execution times are ...
This tutorial describes the theoretical background of GraphBLAS. First, we discuss the need for a st...
Graph algorithms can be expressed in terms of linear algebra. GraphBLAS is a library of low-level bu...
This report documents the program and outcomes of Dagstuhl Seminar 18241 ``High-performance Graph Al...
This report documents the program and the outcomes of Dagstuhl Seminar 14461 “High- per-formance Gra...
Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twent...
This report documents the program and the outcomes of Dagstuhl Seminar 14461 "High- performance Grap...
Copyright 2015 ACM. As new applications for graph algorithms emerge, there has been a great deal of ...
The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix based gra...
Abstract — It is our view that the state of the art in constructing a large collection of graph algo...
The analysis of graphs has become increasingly important to a wide range of applications. Graph anal...
The GraphBLAS standard (GraphBlas.org) is being developed to bring the potential of matrix-based gra...
It is our view that the state of the art in constructing a large collection of graph algorithms in t...
The analysis of graphs has become increasingly important to a wide range of applications. Graph anal...
AbstractThe analysis of graphs has become increasingly important to a wide range of applications. Gr...
Graph algorithms typically have very low computational intensities, hence their execution times are ...
This tutorial describes the theoretical background of GraphBLAS. First, we discuss the need for a st...
Graph algorithms can be expressed in terms of linear algebra. GraphBLAS is a library of low-level bu...
This report documents the program and outcomes of Dagstuhl Seminar 18241 ``High-performance Graph Al...
This report documents the program and the outcomes of Dagstuhl Seminar 14461 “High- per-formance Gra...
Algorithmic graph theory has been expanding at an extremely rapid rate since the middle of the twent...
This report documents the program and the outcomes of Dagstuhl Seminar 14461 "High- performance Grap...
Copyright 2015 ACM. As new applications for graph algorithms emerge, there has been a great deal of ...