This workshop series started with the narrow goal of exploring the definition of a set of basic building blocks for graph algorithms (http://graphblas.org), analogous to the Basic Linear Algebra Subprograms (BLAS) in numerical linear algebra. Over the years, our scope has expanded. We’ve welcomed a wide range of papers into GABB covering graph computations with an emphasis on high-performance and parallel computing. We expect this trend to continue in 2017.

In particular, while we retain our focus on "building blocks" for graph computations (including those not based on linear algebra), we also welcome work that focuses on libraries and frameworks to support applications that use graph algorithms.

Our target audience is developers of graph algorithms, researchers in high-performance computing working on irregular applications, applied mathematicians working on fundamental algorithmic building blocks for graph computations, and application scientists using graphs in their computational work and data analysis.