CFP: HiPEAC Workshop on Statistical and Machine learning approaches applied to ARchitectures and compilaTion (SMART'07) (Ghent, Belgium, Jan 07)

               Call for papers

First Workshop on Statistical and Machine learning
approaches applied to ARchitectures and compilaTion
                 (SMART '07)

      January 28, 2007, Ghent, Belgium

   (collocated with HiPEAC 2007 Conference)

  http://www.hipeac.net/smart-workshop.html

Important dates:

* Deadline for submission: October 20, 2006
* Decision notification: December 4, 2006
* Workshop: January 28, 2007

The rapid rate of architectural change has placed
enormous stress on compiler writers to keep pace
with microprocessor evolution.  This problem
is compounded by the current trend to have multi-cores
and multi-threading which makes such systems increasingly
difficult to target.  Also,  current methods of designing
computer systems will no longer be feasible in 10-15 years
time; what is needed are new innovative approaches to
architecture design that scale both with advances
in underlying technology and with future application domains.

In recent years, several papers have been published
showing great potential in constructing compilers
and architectures using approaches such as machine
learning and search.

The purpose of this workshop is to promote new ideas
and to present recent developments in compiler and
architecture design using machine learning, statistical
approaches, and search in order to enhance their performance,
scalability, and adaptability.

Topics of Interest (but not limited to):
Machine Learning, Statistical Approaches, or Search applied to

* Feedback-Directed Compilation
* Iterative Compilation
* Dynamic Compilation/Adaptive Execution
* Parallel Compiler Optimizations
* Low-power Optimizations
* Simulation
* Performance Models
* Processor and System Architecture
* Design Space Exploration
* Other Topics relevant to Intelligent and Adaptive
  Compilers/Architectures

Paper submission:
We invite papers of two kinds:

* Research papers with new results that have not
  appeared before and has more than 5 pages
* Short position/experience papers (that have less
  than 5 pages)
We do not plan to host papers on the workshop website
to allow republication of the research in other conferences.

Papers must be submitted in the PDF (preferably) or
Postscript formats. Email the submissions to jcavazos@inf.ed.ac.uk .
We suggest to use LNCS LaTeX templates that can be found
at http://www.springeronline.com/lncs (go to "For Authors"
and then "Information for LNCS Editors/Authors")

Proceedings:
An informal collection of the papers to be presented
will be distributed at the workshop. Questions
regarding the workshop proceedings should be forwarded
to jcavazos@inf.ed.ac.uk .

Workshop organizers:

* John Cavazos, University of Edinburgh, UK
* Grigori Fursin, INRIA Futurs, France

Program Committee:
* Matthew Arnold, IBM T.J. Watson Research Center, USA
* Francois Bodin, IRISA, France
* Calin Cascaval, IBM T.J. Watson Research Center, USA
* John Cavazos, Edinburgh University, UK
* Albert Cohen, INRIA Futurs, France
* Lieven Eeckhout, Ghent University, Belgium
* Ari Freund, IBM Haifa Research Lab, Israel
* Grigori Fursin, INRIA Futurs, France
* Peter Knijnenburg, University of Amsterdam, Netherlands
* Sally McKee, Cornell University, USA
* Eliot Moss, University of Massachusetts (Amherst), USA
* Michael O'Boyle, Edinburgh University, UK
* David Padua, University of Illinois at Urbana-Champaign, USA
* Devika Subramanian, Rice University, USA
* Olivier Temam, INRIA Futurs, France
* Matthew J. Thazhuthaveetil, Indian Institute of Science, India
* Richard Vuduc, Lawrence Livermore National Laboratory, USA
* Chris Williams, Edinburgh University, UK
* Ayal Zaks, IBM Haifa Research Lab, Israel