Discamus continentiam augere, luxuriam coercere
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.

A. Calotoiu, T. Hoefler, M. Poke, F. Wolf:

 Using Automated Performance Modeling to Find Scalability Bugs in Complex Codes

(In Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis (SC13), presented in Denver, Colorado, USA, pages 45:1--45:12, ACM, ISBN: 978-1-4503-2378-9, Nov. 2013)

Abstract

Many parallel applications suffer from latent performance limitations that may prevent them from scaling to larger machine sizes. Often, such scalability bugs manifest themselves only when an attempt to scale the code is actually being made—a point where remediation can be difficult. However, creating analytical performance models that would allow such issues to be pinpointed earlier is so laborious that application developers attempt it at most for a few selected kernels, running the risk of missing harmful bottlenecks. In this paper, we show how both coverage and speed of this scalability analysis can be substantially improved. Generating an empirical performance model automatically for each part of a parallel program, we can easily identify those parts that will reduce performance at larger core counts. Using a climate simulation as an example, we demonstrate that scalability bugs are not confined to those routines usually chosen as kernels.

Documents

download article:
 

BibTeX

@inproceedings{automated-modeling,
  author={A. Calotoiu and T. Hoefler and M. Poke and F. Wolf},
  title={{Using Automated Performance Modeling to Find Scalability Bugs in Complex Codes}},
  year={2013},
  month={Nov.},
  pages={45:1--45:12},
  booktitle={Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis (SC13)},
  location={Denver, Colorado, USA},
  publisher={ACM},
  isbn={978-1-4503-2378-9},
  source={http://www.unixer.de/~htor/publications/},
}

serving: 54.80.140.5:49794© Torsten Hoefler