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)
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 snipped-for-privacy@inf.ed.ac.uk . We suggest to use LNCS LaTeX templates that can be found at
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 snipped-for-privacy@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