Difference between revisions of "SMART 2008"
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| Acronym= SMART 2008 | | Acronym= SMART 2008 | ||
| − | | End date= 2008 | + | | End date= 2008-01-27 |
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| City = Goteborg | | City = Goteborg | ||
| + | | Year = 2008 | ||
| Homepage= www.hipeac.net/smart-workshop.html | | Homepage= www.hipeac.net/smart-workshop.html | ||
| − | | Start date= 2008 | + | | Start date= 2008-01-27 |
| Title = 2nd Workshop on statistical and machine learning approaches to Architectures and compilation | | Title = 2nd Workshop on statistical and machine learning approaches to Architectures and compilation | ||
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Latest revision as of 02:59, 6 December 2021
Event Rating
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List of all ratings can be found at SMART 2008/rating
| SMART 2008 | |
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2nd Workshop on statistical and machine learning approaches to Architectures and compilation
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| Dates | 2008-01-27 (iCal) - 2008-01-27 |
| Homepage: | www.hipeac.net/smart-workshop.html |
| Location | |
| Location: | Goteborg, SE |
| Important dates | |
| Submissions: | Nov 2, 2007 |
| Notification: | Nov 30, 2007 |
| Table of Contents | |
The rapid rate of architectural change has placed enormous pressure 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 include (but are not limited to):
Machine Learning, Statistical Approaches, or Search applied to
* Feedback-Directed Compilation
* Auto-tuning Programs + Language Extensions
* Library Generators
* Iterative Compilation
* Dynamic Compilation/Adaptive Execution
* Parallel Compiler Optimizations
* Low-power Optimizations
* Simulation
* Performance Models
* Adaptive Processor and System Architecture
* Design Space Exploration
* Other Topics relevant to Intelligent and Adaptive Compilers/Architectures
Paper Submission Guidelines:
Paper length - maximum 15 pages.
Papers must be submitted in the PDF (preferably) or postscript formats. Email your submissions to mob@inf.ed.ac.uk or use the workshop submission website.
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 mob@inf.ed.ac.uk .
All accepted papers will appear on the workshop website.
Important Dates:
Deadline for submission: November 2, 2007
Decision notification: November 30, 2007
Workshop: January 27, 2008
Organizer:
Michael O'Boyle, University of Edinburgh, UK
Program Committee:
Francois Bodin, IRISA, France
Calin Cascaval, IBM T.J. Watson Research Center, USA
John Cavazos, University of Delaware, USA
Lieven Eeckhout, Ghent University, Belgium
Ari Freund, IBM Haifa Research Lab, Israel
Grigori Fursin, INRIA Futurs, France
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
David Whalley, Florida State University, USA
Chris Williams, University of Edinburgh, UK
This CfP was obtained from WikiCFP