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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):
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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
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Important dates: |
| Deadline for submission: |
November 3, 2006 |
| Decision notification: |
December 19, 2006 |
| Workshop: |
January 28, 2007 |
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We invite two kinds papers:
- Research papers with new results (15 page limit)
- Short position/experience papers (5 page limit)
Important ammendment to publication procedure:
In order to increase the importance of this workshop, we will host all accepted papers on the workshop website.
Papers must be submitted in the PDF (preferably) or Postscript formats. Papers should normally be submitted using the link below, but can also be emailed 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")
Reviews can be viewed HERE.
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Proceedings: |
An informal collection of the papers to be presented will be distributed at the workshop. . |
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Workshop Organizers/Chairs: |
John Cavazos, University of Edinburgh, UK
Grigori Fursin, INRIA Futurs, France
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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, University of Edinburgh, 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, University of Edinburgh, 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, University of Edinburgh, UK
Ayal Zaks, IBM Haifa Research Lab, Israel
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Call for papers: colored flyer in pdf
MILEPOST GCC: machine learning based interactive research compiler
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