Architecture Aware Partitioning Algorithms

  • Authors:
  • Irene Moulitsas;George Karypis

  • Affiliations:
  • Department of Computer Science and Engineering and Digital Technology Center and Army HPC Research Center, University of Minnesota, Minneapolis, MN 55455 and The Cyprus Institute, Nicosia, Cyprus ...;Department of Computer Science and Engineering and Digital Technology Center and Army HPC Research Center, University of Minnesota, Minneapolis, MN 55455

  • Venue:
  • ICA3PP '08 Proceedings of the 8th international conference on Algorithms and Architectures for Parallel Processing
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

Existing partitioning algorithms provide limited support for load balancing simulations that are performed on heterogeneous parallel computing platforms. On such architectures, effective load balancing can only be achieved if the graph is distributed so that it properly takes into account the available resources (CPU speed, network bandwidth). With heterogeneous technologies becoming more popular, the need for suitable graph partitioning algorithms is critical. We developed such algorithms that can address the partitioning requirements of scientific computations, and can correctly model the architectural characteristics of emerging hardware platforms.