ECP’s fifth Co-Design Center Puts Focus on Graph Analytics

ECP has selected its fifth Co-Design Center to focus 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 Co-Design Center, titled “ExaGraph: Combinatorial Methods for Enabling Exascale Applications Co-Design Center” was originally submitted as a proposal in June, 2016. It has been selected for support at the seed level.  The new Co-Design Center will be led by Mahantesh Halappanavar, a Senior Research Scientist in the Advanced Computing, Mathematics and Data Division at Pacific Northwest National Laboratory (PNNL).

Initially, the work will be a partnership among PNNL, Lawrence Berkeley National Laboratory, Sandia National Laboratories, and Purdue University.

The ExaGraph Co-Design Center is being established to target a number of key data analytic computational motifs such as graph traversals; graph matching; graph coloring; graph clustering, including clique enumeration, parallel branch-and-bound, and graph partitioning – motifs that are currently not being addressed in existing ECP Co-Design Centers. With this new ExaGraph Co-Design Center, the ECP is now in a better position to ready current and evolving DAC applications for efficient use of capable exascale platforms.

 

In November, 2016, ECP announced $48 million for the first four co-design center. That news release can be found here.

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