Software Engineering Institute | Carnegie Mellon University
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Graph Algorithms on Future Architectures Poster (SEI 2015 Research Review)

  • October 2015
  • By Scott McMillan
  • Delves into whether primitives and operations can be defined to separate graph analytic application development and complexity of underlying hardware concern
  • Publisher: Software Engineering Institute
  • Abstract

    Efficient graph analysis is important and pervasive. However, achieving high levels of performance is exceedingly difcult especially in the era of complex heterogeneous high-performance computing (HHPC) architectures. By defining a set of graph primitives and operations, we are able to separate the concerns between the graph expertise
    needed to develop advanced graph analytics and the hardware expertise needed to achieve high levels of performance on the ever-increasing complexity of the
    underlying hardware.

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Part of a Collection

SEI 2015 Research Review Artifacts