Non quia difficilia sunt non audemus, sed quia non audemus difficilia sunt
Home -> Publications
Home
  Publications
    
all years
    2017
    2016
    2015
    2014
    2013
    2012
    2011
    2010
    2009
    2008
    2007
    2006
    2005
    2004
    theses
    techreports
    presentations
    edited volumes
    conferences
  Awards
  Research
  Teaching
  BLOG
  Miscellaneous
  Full CV [pdf]






  Events








  Past Events





Publications of Torsten Hoefler
Copyright Notice:

The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

S. Li, T. Hoefler, C. Hu, M. Snir:

 Improved MPI collectives for MPI processes in shared address spaces

(Journal of Cluster Computing. pages 1-17, Springer US, ISSN: 1386-7857, Mar. 2014)

Publisher Reference

Abstract

As the number of cores per node keeps increasing, it becomes increasingly important for MPI to leverage shared memory for intranode communication. This paper investigates the design and optimization of MPI collectives for clusters of NUMA nodes. We develop performance models for collective communication using shared memory and we demonstrate several algorithms for various collectives. Experiments are conducted on both Xeon X5650 and Opteron 6100 InfiniBand clusters. The measurements agree with the model and indicate that different algorithms dominate for short vectors and long vectors. We compare our shared-memory allreduce with several MPI implementations—Open MPI, MPICH2, and MVAPICH2—that utilize system shared memory to facilitate interprocess communication. On a 16-node Xeon cluster and 8-node Opteron cluster, our implementation achieves on geometric average 2.3X and 2.1X speedup over the best MPI implementation, respectively. Our techniques enable an efficient implementation of collective operations on future multi- and manycore systems.

Documents

 

BibTeX

@article{li-shm-colls,
  author={S. Li and T. Hoefler and C. Hu and M. Snir},
  title={{Improved MPI collectives for MPI processes in shared address spaces}},
  journal={Journal of Cluster Computing},
  year={2014},
  month={Mar.},
  pages={1-17},
  publisher={Springer US},
  issn={1386-7857},
  source={http://www.unixer.de/~htor/publications/},
}

serving: 54.145.71.49:47958© Torsten Hoefler