ExaGraph Co-Design Center
Combinatorial Methods for Enabling Exascale Applications
Berkeley Lab is a partner in the ECP Co-Design Center that focuses on Graph Analytics — combinatorial (graph) kernels that play a crucial enabling role in many data analytic computing (DAC) application areas as well as several ECP applications.
The ExaGraph Co-Design Center is led by Pacific Northwest National Laboratory (PNNL) in partnership with Berkeley Lab (Aydın Buluç heads the effort), Sandia National Laboratories and Purdue University. It targets a number of key data analytic computational motifs that are currently not being addressed in existing ECP Co-Design Centers, such as graph traversals, graph matching, graph coloring and graph clustering (including clique enumeration, parallel branch-and-bound, and graph partitioning).