GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems

@article{Kreutzer2016GHOSTBB,
  title={GHOST: Building Blocks for High Performance Sparse Linear Algebra on Heterogeneous Systems},
  author={M. Kreutzer and J. Thies and Melven R{\"o}hrig-Z{\"o}llner and A. Pieper and F. Shahzad and Martin Galgon and A. Basermann and H. Fehske and Georg Hager and G. Wellein},
  journal={International Journal of Parallel Programming},
  year={2016},
  volume={45},
  pages={1046-1072}
}
  • M. Kreutzer, J. Thies, +7 authors G. Wellein
  • Published 2016
  • Computer Science
  • International Journal of Parallel Programming
  • While many of the architectural details of future exascale-class high performance computer systems are still a matter of intense research, there appears to be a general consensus that they will be strongly heterogeneous, featuring “standard” as well as “accelerated” resources. Today, such resources are available as multicore processors, graphics processing units (GPUs), and other accelerators such as the Intel Xeon Phi. Any software infrastructure that claims usefulness for such environments… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 95 REFERENCES

    Build to order linear algebra kernels

    Hybrid MPI/OpenMP Parallel Programming on Clusters of Multi-Core SMP Nodes

    Introduction to High Performance Computing for Scientists and Engineers

    Performance Engineering of the Kernel Polynomal Method on Large-Scale CPU-GPU Systems

    POSTER: a generic framework for asynchronous progression and multithreaded communications

    • Alexandre Denis
    • Computer Science
    • 2014 IEEE International Conference on Cluster Computing (CLUSTER)
    • 2014