Theme
Government agencies, industry and academia are demanding a new generation of tools to efficiently solve large scale analytics problems in a variety of business, scientific and national security applications. This BoF gathers the community developing high-performance frameworks and workflows for large scale graph analytics to survey current approaches, identify new challenges and opportunities, and discuss interoperability of emerging infrastructures. A central goal is developing requirements and recommendations for future tools. As in previous editions, this BoF will explore and compare and contrast conventional implementations as well as algebraic approaches, inviting the GraphBLAS community to discuss its state and evolution.
Organizers: José Moreira (IBM), Tim Mattson (Retired), John Feo (PNNL), Antonino Tumeo (PNNL)
Time | Event |
---|---|
17:15 | Welcome and Introduction Antonino Tumeo (PNNL), José Moreira (IBM) |
17:15 - 17:45 | Updates on GraphBLAS Updates on the math and C specifications Tim Mattson (Retired) GraphBLAS 2023 C++ Specifications Benjamin Brock (Intel) Update on SuiteSparse graphBLAS Tim Mattson (retired), on behalf of Tim Davis (Texas A&M) |
17:45 - 18:15 | HPC Graph Toolkits for Government and Industry Updates on DOD/DOE Programs on Data Analytics Marco Minutoli (PNNL) Updates on distributed C++ data structures (SHAD) Vito Giovanni Castellana (PNNL) |
18:15 - 18:45 | Program Managers Panel - Moderator: John Feo (PNNL) The key role of High Performance Data and Graph Analytics for Government Almadena Chtchelkanova (NSF), Bill Harrod (IARPA), Kalyan Perumalla (DOE) |
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