"It is not the strongest of the species that survives, or the most intelligent; it is the one most capable of change"
Charles Darwin

London, UK
March 3rd, 2012

Co-located with ASPLOS 2012

Sponsored by
Paper submissions due: December 21, 2011, 23:59:59
Extended paper submission deadline: January 6, 2011, 23:59:59 - submitter's time zone
Author notification: January 20, 2012
Final paper: February 20, 2012
Modern large scale computing systems are rapidly evolving and may soon feature millions of cores with exaflop performance. However, this leads to a tremendous complexity with an unprecedented number of available design and optimization choices for architectures, applications, compilers and run-time systems. Using outdated, non-adaptive technology results in an enormous waste of expensive computing resources and energy, while slowing down time to market.

The 2nd International Workshop on Self-tuning, Large Scale Computing Systems for Exaflop Era (EXADAPT) is an interdisciplinary forum for researchers, practitioners, developers and application writers to discuss ideas, experience, methodology, applications, practical techniques and tools to improve or change current and future computing systems using self-tuning technology. Such systems should be able to automatically adjust their behavior to multi-objective usage scenarios at all levels (hardware and software) based on empirical, dynamic, iterative, statistical, collective, bio-inspired, machine learning and alternative techniques while fully utilizing available resources.

All papers will be peer-reviewed including short position papers and should include unpublished ideas on how to simplify, automate and standardize the design, programming, optimization and adaptation of large-scale computing systems for multiple objectives to improve performance, power consumption, utilization, reliability and scalability.

We invite papers in two categories:

  • Full papers should be at most 12 pages long including bibliography and appendices. Papers in this category are expected to have relatively mature content. Full paper presentations will be 25 minutes each.
  • Position papers should be at most 6 pages long including bibliography and appendices. Preliminary and exploratory work are welcome in this category, including wild & crazy ideas. Position paper presentations will be 10 minutes each. Authors submitting papers in this category must prepend the phrase Position Paper: to the title of the submitted paper.

Submissions should be PDF documents typeset in the ACM proceedings format using 10pt fonts. SIGPLAN-approved templates can be found here. Both full and position papers must describe work not published in other refereed venues (see the SIGPLAN republication policy for more details). The proceedings of this workshop will be published in the ACM International Conference Proceedings Series (ISBN 978-1-4503-1147-2) and ACM Digital Library.

You may find proceedings of EXADAPT 2011 here.

Paper submission website: http://www.easychair.org/conferences/?conf=exadapt2012

  • Erik R. Altman, IBM TJ Watson, USA
  • Jose Nelson Amaral, University of Alberta, Canada
  • David H. Bailey, Lawrence Berkeley National Laboratory, USA
  • Steve Blackburn, Australian National University, Australia
  • Francois Bodin, CAPS Entreprise, France
  • Franck Capello, INRIA, France
  • Koen DeBosschere, Ghent University, Belgium
  • Rajiv Gupta, University of California, Riverside, USA
  • Anton Lokhmotov, ARM, UK
  • Geoff Lowney, Intel, USA
  • Allen Malony, University of Oregon, USA
  • Bernd Mohr, Julich Supercomputing Centre, Germany
  • Tipp Moseley, Google, USA
  • Toshio Nakatani, IBM Tokyo Research Lab, Japan
  • Nacho Navarro, UIUC, USA / UPC, Spain
  • Boyana Norris, Argonne National Laboratory, USA
  • David Padua, UIUC, USA
  • Keshav Pingali, University of Texas at Austin, USA
  • Markus Püschel, ETH Zurich, Switzerland
  • Xipeng Shen, College of William & Mary, USA
  • Allan Snavely, San Diego Supercomputer Center, USA
  • Felix Wolf, Aachen University, Germany
  • Chengyong Wu, ICT, China