  In the landscape of exascale computing collaborative research campaigns are
conducted as co-design activities of loosely coordinated experiments. But the
higher level context and the knowledge of individual experimental activity is
lost over time. We undertook a knowledge capture and representation aid called
Campaign Knowledge Network(CKN), a co-design design and analysis tool. We
demonstrate that CKN can satisfy the Hoarde abstraction and can distill
campaign context from runtime information thereby creating a knowledge resource
upon which analysis tools can run to provide more efficient experimentation
