GraphBLAS Forum Collection
These publications describe Graphs@SEI, which encompasses SEI's research into graph processing and related areas of AI engineering.
Software Engineering Institute
The SEI is a member of the GraphBLAS Forum, a consortium of government, academic, and industry researchers that is building an application programming interface (API) specification for graph analysis. The goal is to bring matrix-based graph algorithms to the broadest possible audience.
September 15, 2016 • Conference Paper
By Jeremy Kepner (MIT Lincoln Laboratory), Peter Aaltonen (Indiana University), David Bader (Georgia Institute of Technology), Aydın Buluç (Lawrence Berkeley National Laboratory), Franz Franchetti (Carnegie Mellon University), John Gilbert (University of California, Santa Barbara), Dylan Hutchison (University of Washington), Manoj Kumar (IBM), Andrew Lumsdaine (Indiana University), Henning Meyerhenke (Karlsruhe Institute of Technology), Scott McMillan, Jose Moreira (IBM), John D. Owens (University of California, Davis), Carl Yang (University of California, Davis), Marcin Zalewski (Indiana University), Tim Mattson (Intel)
This paper introduces the mathematics of the GraphBLAS, which is being developed to bring matrix-based graph algorithms to the broadest possible audience.read
July 11, 2016 • Presentation
By Scott McMillan, Samantha Misurda, Marcin Zalewski (Indiana University), Peter Zhang (Indiana University), Andrew Lumsdaine (Indiana University)
The design of the GraphBLAS Template Library separates graph algorithm development from performance tuning for heterogeneous high-performance computing architectures.read