Mix-and-Match Dataset

Benchmark results for "Mix-and-Match: A Model-driven Runtime Optimisation Strategy for BFS on GPUs" paper. Performance data for Breadth-First Search on NVidia TitanX. Including trained Binary Decision Tree model for predicting the best implementation on an input graph.

{"references": ["J\u00e9r\u00f4me Kunegis. KONECT - The Koblenz Network Collection. In Proc. Int. Web Observatory Workshop, pages 1343-1350, 2013"]}

Country

Netherlands

Related Organizations

University of Amsterdam
Netherlands

Keywords

bfs, gpgpu, graph processing

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average