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Graph construction, a fundamental operation in a data processing pipeline, is typically done by multiplying the incidence array representations of a graph, E in and E out, to produce an adjacency array of the graph, A, that can be processed with a variety of algorithms. This paper provides the mathematical criteria to determine if the product A = E T\out E in will have the required structure of the...
Graph algorithms are increasingly used in applications that exploit large databases. However, conventional processor architectures are inadequate for handling the throughput and memory requirements of graph computation. Lincoln Laboratory's graph-processor architecture represents a rethinking of parallel architectures for graph problems. Our processor utilizes innovations that include a sparse matrix-based...
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